Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)

Hairil Budiarto, Vivi Triwidyaningrum, Faikul Umam, Ach Dafid

Abstract


The vital role of an automated braking system in ensuring the safety of motorized vehicles and their passengers cannot be overstated. It simplifies the braking process during driving, enhancing control and reducing the chances of accidents. This study is centered on the design of an automatic braking device for DC motors utilizing disc brakes. The instrument employed in this study was designed to accelerate the vehicle in two primary scenarios - before the collision with an obstacle and upon crossing the safety threshold. It achieves this by implementing the Proportional Integral Derivative (PID) control method. A significant part of this system comprises ultrasonic sensors, used for detecting the distance to obstructions, and rotary encoder sensors, which are utilized to measure the motor's rotational speed. These distance and speed readings serve as essential reference points for the braking process. The system is engineered to initiate braking when the distance value equals or falls below 60cm or when the speed surpasses 8000rpm. During such events, the disc brake is activated to reduce the motor's rotary motion. The suppression of the disc brake lever is executed pneumatically, informed by the sensor readings. Applying the PID method to the automatic braking system improved braking outcomes compared to a system without the PID method. This was proven by more effective braking results when the sensors detected specific distance and speed values. Numerous PID tuning tests achieved optimal results with K_p = 5, K_i = 1, and K_d = 3. These values can be integrated into automatic braking systems for improved performance. The PID method yielded more responsive braking outcomes when applied in distance testing. On the contrary, the braking results were largely unchanged in the absence of PID. Regarding speed testing, the PID method significantly improved the slowing down of the motor speed when it exceeded the maximum speed limit of 8000 rpm. This eliminates the possibility of sudden braking, thus maintaining the system within a safe threshold. The average time taken by the system to apply braking was 01.09 seconds, an indication of its quick responsiveness. This research is a valuable addition to control science, applying the PID control method to automatic DC motor braking. It provides valuable insights and concrete applications of PID control to complex mechatronic systems. It is also noteworthy for its development and optimization of suitable PID parameters to achieve responsive and stable braking. The study, therefore, offers a profound understanding of how PID control can be employed to manage braking systems on automatic DC motors, thereby advancing knowledge and application of control in control science and mechatronics.

Keywords


DC Motor; Automatic Braking; PID Control; Ultrasonic Sensor; Rotary Encoder Sensor.

Full Text:

PDF

References


C. Liu, X. Liu, Y. Cai, J. Chen, Z. Huang, and W. Huang, “Design and performance test of motor braking and friction braking integrated system,” 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 13-17, 2022, doi: 10.1109/IAEAC54830.2022.9929683.

J. Zhu, Z. Wang, L. Zhang, and D. G. Dorrell, “Braking/steering coordination control for in-wheel motor drive electric vehicles based on nonlinear model predictive control,” Mechanism and Machine Theory, vol. 142, p. 103586, 2019, doi: https://doi.org/10.1016/j.mechmachtheory.2019.103586.

L. Teng, Z. Xie, Y. Yu, and J. Liang, “Synchronous Switch Current Reversion (SSCR) Technique for Motor Braking Enhancement,” 2022 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 1-5, 2022, doi: 10.1109/ECCE50734.2022.9947813.

J. El-bakkouri, H. Ouadi, and A. Saad, “Adaptive Neuro Fuzzy Inference System Based controller for Electric Vehicle’s hybrid ABS braking,” IFAC-PapersOnLine, vol. 55, no. 12, pp. 371–376, 2022, doi: https://doi.org/10.1016/j.ifacol.2022.07.340.

N. Shiza and A. Kumar Singh, “A Study on control strategies utilized for performance enhancement of antilock braking system,” Materials Today: Proceedings, vol. 80, pp. 128–133, 2023, doi: https://doi.org/10.1016/j.matpr.2022.10.287.

R. R. da Silva Bravo, A. T. de Cantuaria Gama, A. A. M. Oliveira, and V. J. De Negri, “Component sizing and sensitivity analysis of design parameters of a hydraulic-pneumatic regenerative braking system for heavy duty vehicles,” Energy, vol. 264, p. 126021, 2023, doi: https://doi.org/10.1016/j.energy.2022.126021.

S. Zhou, P. Walker, and N. Zhang, “Parametric design and regenerative braking control of a parallel hydraulic hybrid vehicle,” Mechanism and Machine Theory, vol. 146, p. 103714, 2020, doi: https://doi.org/10.1016/j.mechmachtheory.2019.103714.

S. -Y. Oh, K. -Y. Hwang, B. -K. Song, and S. -I. Kim, “Motor Parametric Design Using an Electro-Hydraulic Model of a Brake System,” in IEEE Access, vol. 10, pp. 61375-61384, 2022, doi: 10.1109/ACCESS.2022.3181616.

Q. Tang, Y. Yang, C. Luo, Z. Yang, and C. Fu, “A novel electro-hydraulic compound braking system coordinated control strategy for a four-wheel-drive pure electric vehicle driven by dual motors,” Energy, vol. 241, p. 122750, 2022, doi: https://doi.org/10.1016/j.energy.2021.122750.

F. Khajvand, M. Zareinejad, S. Mehdi Rezaei, and K. Baghestan, “Design and implementation of a series hydraulic hybrid propulsion system to increase regenerative braking energy saving range,” Energy Convers. Manag., vol. 279, p. 116754, 2023, doi: https://doi.org/10.1016/j.enconman.2023.116754.

A. Coulibaly, N. Zioui, S. Bentouba, S. Kelouwani, and M. Bourouis, “Use of thermoelectric generators to harvest energy from motor vehicle brake discs,” Case Studies in Thermal Engineering, vol. 28, p. 101379, 2021, doi: https://doi.org/10.1016/j.csite.2021.101379.

S. Wahyuni, M. I. Bahroni, and F. Umam, “Autonomous Quadcopter Stability With PID Control,” in Proceedings of the International Conference on Science and Technology (ICST 2018), pp. 527–531, Dec. 2018, doi: 10.2991/icst-18.2018.110.

H. Jeon et al., “PID Control of an Electromagnet-Based Rotary HTS Flux Pump for Maintaining Constant Field in HTS Synchronous Motors,” IEEE Transactions on Applied Superconductivity, vol. 28, no. 4, pp. 1–5, 2018, doi: 10.1109/TASC.2018.2822704.

I. Clitan and I. Muntean, “Direct-Current Motor Speed Control Using a PID Discrete Controller,” in 2021 9th International Conference on Modern Power Systems (MPS), pp. 1–5, 2021, doi: 10.1109/MPS52805.2021.9492727.

M. Mahmud, S. M. A. Motakabber, A. H. M. Zahirul Alam, and A. N. Nordin, “Adaptive PID Controller Using for Speed Control of the BLDC Motor,” in 2020 IEEE International Conference on Semiconductor Electronics (ICSE), pp. 168–171, 2020, doi: 10.1109/ICSE49846.2020.9166883.

S. Balamurugan and A. Umarani, “Study of Discrete PID Controller for DC Motor Speed Control Using MATLAB,” in 2020 International Conference on Computing and Information Technology (ICCIT-1441), pp. 1–6, 2020, doi: 10.1109/ICCIT-144147971.2020.9213780.

S. Balamurugan and A. Umarani, “Study of Discrete PID Controller for DC Motor Speed Control Using MATLAB,” in 2020 International Conference on Computing and Information Technology (ICCIT-1441), pp. 1–6, 2020, doi: 10.1109/ICCIT-144147971.2020.9213780.

S. D. Sahputro, F. Fadilah, N. A. Wicaksono, and F. Yusivar, “Design and implementation of adaptive PID controller for speed control of DC motor,” in 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering, pp. 179–183, 2017, doi: 10.1109/QIR.2017.8168478.

Y. Wang and Y. Yuan, “A dynamic reactive power compensation method for high-power and high-voltage electronic motors based on self-adaptive fuzzy PID control,” in 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), pp. 10–15, 2016, doi: 10.1109/CGNCC.2016.7828749.

S. Kumari and S. K. Swain, “Optimal control based PID tuning for control of four quadrant chopper fed DC motor,” in 2018 Technologies for Smart-City Energy Security and Power (ICSESP), pp. 1–6, 2018, doi: 10.1109/ICSESP.2018.8376695.

K. Vanchinathan and N. Selvaganesan, “Adaptive fractional order PID controller tuning for brushless DC motor using Artificial Bee Colony algorithm,” Results in Control and Optimization, vol. 4, p. 100032, 2021, doi: https://doi.org/10.1016/j.rico.2021.100032.

N. Pati and N. Swain, “Design and study of speed control of DC motor using Youla parameterization and PID controller,” in 2017 IEEE Calcutta Conference (CALCON), pp. 433–437, 2017, doi: 10.1109/CALCON.2017.8280770.

S. Ekinci, B. Hekimoğlu, and D. Izci, “Opposition based Henry gas solubility optimization as a novel algorithm for PID control of DC motor,” Engineering Science and Technology, an International Journal, vol. 24, no. 2, pp. 331–342, 2021, doi: https://doi.org/10.1016/j.jestch.2020.08.011.

A. Dubravic and A. Serifovic-Trbalic, “Robustness Analysis of Legendre Orthonormal Functions Based Model Predictive Control and PID Control of DC Motor,” in 2022 XIV International Symposium on Industrial Electronics and Applications (INDEL), pp. 1–5, 2022, doi: 10.1109/INDEL55690.2022.9965538.

S. W. Khubalkar, A. S. Chopade, A. S. Junghare, and M. V Aware, “Design and tuning of fractional order PID controller for speed control of permanent magnet brushless DC motor,” in 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI), pp. 320–326, 2016, doi: 10.1109/CMI.2016.7413764.

B. Hekimoğlu, “Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm,” IEEE Access, vol. 7, pp. 38100–38114, 2019, doi: 10.1109/ACCESS.2019.2905961.

Z. Adel, A. A. Hamou, and S. Abdellatif, “Design of Real-time PID tracking controller using Arduino Mega 2560for a permanent magnet DC motor under real disturbances,” in 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), pp. 1–5, 2018, doi: 10.1109/CISTEM.2018.8613560.

R. Baz, K. El Majdoub, F. Giri, and A. Taouni, “Self-tuning fuzzy PID speed controller for quarter electric vehicle driven by In-wheel BLDC motor and Pacejka’s tire model,” IFAC-PapersOnLine, vol. 55, no. 12, pp. 598–603, 2022, doi: https://doi.org/10.1016/j.ifacol.2022.07.377.

H.-C. Chen and Y.-W. Bai, “Improvement of a High-Current-Density Power Backplane Design With a PID Fan Control Cooling System on an Enterprise Server,” IEEE Canadian Journal of Electrical and Computer Engineering, vol. 44, no. 1, pp. 1–9, 2021, doi: 10.1109/ICJECE.2020.3011357.

Y.-C. Chen, Y.-C. Chang, J.-F. Cheng, W.-C. Yu, and C.-L. Lin, “Regenerative braking-driving control system,” in 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 887–892, 2018, doi: 10.1109/ICIEA.2018.8397838.

M. Athira and P. S. Shenil, “Novel Regenerative Braking Controllers for Electric Vehicle Driven by BLDC Motor,” in 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), pp. 1–6, 2021, doi: 10.1109/ICECCT52121.2021.9616660.

W. Xu, H. Chen, H. Zhao, and B. Ren, “Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system,” Mechatronics, vol. 57, pp. 95–108, 2019, doi: https://doi.org/10.1016/j.mechatronics.2018.11.006.

S. Sitthiracha, S. Koetniyom, and G. Phanomchoeng, “Combination of Active Braking and Torque Vectoring in Electronic Stability Control for Four-Wheel Independent Drive Electric Vehicle,” in 2019 Research, Invention, and Innovation Congress (RI2C), pp. 1–5, 2019, doi: 10.1109/RI2C48728.2019.8999965.

L. Zou, T. Li, Y. Wei, B. Ji, Y. Zhou, and F. Bai, “A novel Electro-Booster Brake System based on Fuzzy PID Control,” in 2021 24th International Conference on Electrical Machines and Systems (ICEMS), pp. 2185–2190, 2021, doi: 10.23919/ICEMS52562.2021.9634488.

A. A. Ponomarev, Y. I. Kudinov, F. F. Pashchenko, and E. S. Duvanov, “Analysis and Synthesis of Adaptive PID Controller with MRAC-MIT System,” in 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), pp. 527–532, 2020, doi: 10.1109/SUMMA50634.2020.9280651.

L. Shao, C. Liu, Z. Wang, J. Wang, and X. Yang, “The Temperature Control of Blackbody Radiation Source Based on IMC-PID,” in 2019 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1698–1702, 2019, doi: 10.1109/ICMA.2019.8816573.

N. E.-T. Tochukwu, A. K. Tetteh, and G. K. Agordzo, “Investigation on the Temperature Stabilization of the Laser Diode Based on PID Control,” in 2022 IEEE Delhi Section Conference (DELCON), pp. 1–8, 2022, doi: 10.1109/DELCON54057.2022.9752826.

L. Yang, Y. Yu, and M. Liu, “Attitude control of tail-adjustable seabed sediment temperature probe with PID controller,” in 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), pp. 1212–1215, 2019, doi: 10.1109/EITCE47263.2019.9094947.

M. H. A. Jalil, R. Hamdan, R. Ngadengon, H. M. Shariff, S. Amely Jumaat, and S. Z. Islam, “PID with Clamping Anti-windup Performance on Temperature Regulation of Glycerin Bleaching Process,” in 2021 IEEE 12th Control and System Graduate Research Colloquium (ICSGRC), pp. 127–131, 2021, doi: 10.1109/ICSGRC53186.2021.9515200.

V. B. Kumar, D. Sampath, V. N. Siva Praneeth, and Y. V Pavan Kumar, “Error Performance Index Based PID Tuning Methods for Temperature Control of Heat Exchanger System,” in 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1–6, 2021, doi: 10.1109/IEMTRONICS52119.2021.9422613.

S. Korganbayev et al., “PID Controlling Approach Based on FBG Array Measurements for Laser Ablation of Pancreatic Tissues,” IEEE Trans. Instrum. Meas., vol. 70, pp. 1–9, 2021, doi: 10.1109/TIM.2021.3112790.

G. Wang, J. Hu, M. Zhou, and Y. Wang, “Research on improved nucleic acid amplification temperature control system with single neuron adaptive PID control,” in 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 1237–1241, 2021, doi: 10.1109/ICSP51882.2021.9408932.

Y. Teng, H. Li, and F. Wu, “Design of Distributed Fractional Order PID Type Dynamic Matrix Controller for Large-Scale Process Systems,” IEEE Access, vol. 8, pp. 179754–179771, 2020, doi: 10.1109/ACCESS.2020.3027597.

Y. Li, Y. Zhang, S. Cui, Y. Liu, and X. Lv, “Application of optimizing PID Parameters based on PSO in the Temperature Control System of Haematococcus Pluvialis,” in 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pp. 1850–1853, 2020, doi: 10.1109/ITAIC49862.2020.9338777.

Y. Hu, F. Wang, L. Qin, J. Gong, and B. Liu, “Application of Fuzzy PID Control Algorithm Based on Genetic Self-tuning in Constant Temperature Incubator,” in 2020 Chinese Control And Decision Conference (CCDC), pp. 171–176, 2020, doi: 10.1109/CCDC49329.2020.9163929.

L. Ma, W. Liu, T. Chen, and Q. Li, “Intelligent Compensation for the Set Values of PID Controllers to Improve Boiler Superheated Steam Temperature Control,” in 2020 39th Chinese Control Conference (CCC), pp. 5707–5712, 2020, doi: 10.23919/CCC50068.2020.9188348.

Y. He, H. Wang, and D. Chen, “The application of fuzzy PID control in the process temperature and humidity control of cigarette factory,” in 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pp. 1091–1096, 2020, doi: 10.1109/ITAIC49862.2020.9338936.

D. Baidya, S. Dhopte, and M. Bhattacharjee, “Sensing System Assisted Novel PID Controller for Efficient Speed Control of DC Motors in Electric Vehicles,” IEEE Sensors Letters, vol. 7, no. 1, pp. 1–4, 2023, doi: 10.1109/LSENS.2023.3234400.

Y. A. K. Utama, “Design of PID Disturbance Observer with Neuro Fuzzy Inverse Model for Precise Temperature Control in Infant Incubator,” in 2020 1st International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE), pp. 179–184, 2020, doi: 10.1109/ICITAMEE50454.2020.9398509.

H. Hu, J. Zhang, Q. Yang, and Y. Cai, “Feedforward DMC-PID cascade strategy for main steam temperature control system in fossil-fired power plant,” in 2017 29th Chinese Control And Decision Conference (CCDC), pp. 3087–3091, 2017, doi: 10.1109/CCDC.2017.7979038.

H. Liu, L. Song, L. Shao, Z. Tan, and X. Chen, “Design of LT-MED Seawater Desalination Temperature Control System Based on Dynamic Matrix Predictive Fuzzy PID Control Algorithm,” in 2018 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 293–297, 2018, doi: 10.1109/ICMA.2018.8484378.

L. Wang, “PID Control of Multi‐rotor Unmanned Aerial Vehicles,” in PID Control System Design and Automatic Tuning using MATLAB/Simulink, pp. 305–326, 2020, doi: 10.1002/9781119469414.ch10.

Z. Janin, H. Mad Kaidi, and R. Ahmad, “PID Control Glycerin Heating Process Performance Investigation,” in 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), pp. 1–5, 2019, doi: 10.1109/ICSIMA47653.2019.9057318.

A. Punse, S. Nangrani, and R. Jain, “A Novel Application of Multipoint Temperature Control Using PID,” in 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), pp. 1191–1196, 2019, doi: 10.1109/ICCMC.2019.8819722.

J. Mei and Z. Li, “Fractional Order PID Control of Temperature of Supply Cooling Water,” in 2017 4th International Conference on Information Science and Control Engineering (ICISCE), pp. 999–1003, 2017, doi: 10.1109/ICISCE.2017.211.

S. Danech, A. Agarwal, P. Mahajan, and S. M. Dhavale, “Implementation of PID Based Automatic Temperature Control System using STM32,” in 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, pp. 1–5, 2022, doi: 10.1109/ICCUBEA54992.2022.10010800.

Y. H. Bin and W. Yan, “Simulation Analysis of Temperature PID Controller Based on Iterative Algorithm,” in 2022 2nd International Conference on Electrical Engineering and Control Science (IC2ECS), pp. 1230–1234, 2022, doi: 10.1109/IC2ECS57645.2022.10088142.

C. Liu, J. Zhu, Y. Xie, Z. Yang, X. Li, and Y. Yan, “Design of PID Temperature Control System for RNA Virus Detection,” in 2021 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE), pp. 1–5, 2021, doi: 10.1109/RASSE53195.2021.9686831.

J. Xu, “An expert PID control algorithm based on anti-integration saturation,” in 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 1536–1539, 2017, doi: 10.1109/IAEAC.2017.8054270.

S. Prainetr, T. Phurahong, K. Janprom, and N. Prainetr, “Design Tuning PID Controller For Temperature Control Using Ant Colony Optimization,” in 2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA), pp. 124–127, 2019, doi: 10.1109/ICPEA.2019.8818517.

Y. Su, Q. Yu, and L. Zeng, “Parameter Self-Tuning PID Control for Greenhouse Climate Control Problem,” IEEE Access, vol. 8, pp. 186157–186171, 2020, doi: 10.1109/ACCESS.2020.3030416.

T. Li and H. Zhu, “Research of predictive PID algorithm Simulation in drawing roller temperature control,” in 2018 Chinese Automation Congress (CAC), pp. 401–405, 2018, doi: 10.1109/CAC.2018.8623444.

K. V. P. Srikar, Y. V. P. Kumar, D. J. Pradeep, and Ch. P. Reddy, “Investigation on PID Controller Tuning Methods for Aircraft Fuselage Temperature Control,” in 2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1–5, 2020, doi: 10.1109/ISAECT50560.2020.9523674.

S. Kumari and S. K. Swain, “Optimal control based PID tuning for control of four quadrant chopper fed DC motor,” in 2018 Technologies for Smart-City Energy Security and Power (ICSESP), pp. 1–6, 2018, doi: 10.1109/ICSESP.2018.8376695.

O. Alshammari, M. N. Mahyuddin, and H. Jerbi, “An Advanced PID Based Control Technique With Adaptive Parameter Scheduling for A Nonlinear CSTR Plant,” IEEE Access, vol. 7, pp. 158085–158094, 2019, doi: 10.1109/ACCESS.2019.2948019.

R. Li, F. Wu, P. Hou, and H. Zou, “Performance Assessment of FO-PID Temperature Control System Using a Fractional Order LQG Benchmark,” IEEE Access, vol. 8, pp. 116653–116662, 2020, doi: 10.1109/ACCESS.2020.3004701.

Y. Tang, H. Su, T. Jin, and R. C. C. Flesch, “Adaptive PID Control Approach Considering Simulated Annealing Algorithm for Thermal Damage of Brain Tumor During Magnetic Hyperthermia,” IEEE Trans Instrum Meas, vol. 72, pp. 1–8, 2023, doi: 10.1109/TIM.2023.3242011.

R. Li, C. Chen, and X. Jia, “Design and Simulation of Superheated Steam Temperature Control System Based on IMC-PID Cascade Control Algorithm,” in 2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 666–671, 2021, doi: 10.1109/YAC53711.2021.9486453.

Z. Adel, A. A. Hamou, and S. Abdellatif, “Design of Real-time PID tracking controller using Arduino Mega 2560for a permanent magnet DC motor under real disturbances,” in 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), pp. 1–5, 2018, doi: 10.1109/CISTEM.2018.8613560.

H. Efheij and A. Albagul, “Comparison of PID and Artificial Neural Network Controller in on line of Real Time Industrial Temperature Process Control System,” in 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, pp. 110–115, 2021, doi: 10.1109/MI-STA52233.2021.9464484.

A. A. A. Ismail and A. Elnady, “Advanced Drive System for DC Motor Using Multilevel DC/DC Buck Converter Circuit,” IEEE Access, vol. 7, pp. 54167–54178, 2019, doi: 10.1109/ACCESS.2019.2912315.

N. Yoshida, R. Takahashi, and T. Hikihara, “Power Regeneration From DC Motor With Bidirectional Router in Power Packet Dispatching System,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 12, pp. 3088–3092, 2020, doi: 10.1109/TCSII.2020.2968384.

Z. Bin, W. Cong, and L. Xue, “Research on Surface Defect Detection System of Brake Disc,” in 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), pp. 630–634, 2022, doi: 10.1109/IMCEC55388.2022.10019860.

X. Zhang, S. Gao, D. Wang, S. Chen, and J. Qin, “Anti-slip Control Research of Brake System with Laser Additive Manufacturing Brake Disc,” in 2020 39th Chinese Control Conference (CCC), pp. 5493–5498, 2020, doi: 10.23919/CCC50068.2020.9188448.

S. Göltz and O. Sawodny, “Simplified Disc Brake Modeling, Identification, and Validation focusing on Temperature Influences,” in IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, pp. 2063–2068, 2020, doi: 10.1109/IECON43393.2020.9254389.

C. Chu, C. Run, X. Jia, and Y. Xiao, “A New Type Parametric Structural Design of Giant-magnetostrictive Disc Brake,” in 2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE), pp. 20–23, 2022, doi: 10.1109/ICMIAE57032.2022.00012.

C. Su, X. Mi, M. Jiang, and M. Chu, “Analysis of Temperature Field and Thermal Stress for High Speed Train Brake Disc,” in 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 964–968, 2021, doi: 10.1109/CSCWD49262.2021.9437755.

P. Bordovsky, S. H. Adibpoor, H. Murrenhoff, and O. Reinertz, “Simulation of an Active Disc Brake with a Hydro-Mechanical Torque Control,” in 2018 Global Fluid Power Society PhD Symposium (GFPS), pp. 1–6, 2018, doi: 10.1109/GFPS.2018.8472364.

Z. Sha, W. Li, F. Ma, J. Yin, S. Zhang, and Y. Liu, “Surface Structure Design of High Speed Heavy Duty Brake Disc Based on Topography Optimization,” in 2020 6th International Conference on Mechanical Engineering and Automation Science (ICMEAS), pp. 227–231, 2020, doi: 10.1109/ICMEAS51739.2020.00049.

Z. Lamei, “Research on the application of hydraulic disc brake in precision positioning of large radar antenna,” in 2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), pp. 633–638, 2019, doi: 10.1109/ICEMI46757.2019.9101634.

Z. Wang, Z. Zhang, H. Zhao, X. Chen, S. Yuan, and S. Jin, “Reliability Analysis of Thermal Warping Deformation of Brake Disc Based on AK-MCS Method,” in 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), pp. 442–446, 2020, doi: 10.1109/ICMCCE51767.2020.00103.

Z. Sha, D. Yuan, F. Ma, J. Yin, S. Zhang, and Y. Liu, “Analysis of Multi-point Braking Vibration Characteristics of Yaw Brake Disc for Large Megawatt Wind Power,” in 2020 6th International Conference on Mechanical Engineering and Automation Science (ICMEAS), pp. 45–49, 2020, doi: 10.1109/ICMEAS51739.2020.00016.

S. Mori, K. Tanaka, S. Nishikawa, R. Niiyama, and Y. Kuniyoshi, “High-Speed Humanoid Robot Arm for Badminton Using Pneumatic-Electric Hybrid Actuators,” IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3601–3608, 2019, doi: 10.1109/LRA.2019.2928778.

B. Rouzbeh, G. M. Bone, G. Ashby, and E. Li, “Design, Implementation and Control of an Improved Hybrid Pneumatic-Electric Actuator for Robot Arms,” IEEE Access, vol. 7, pp. 14699–14713, 2019, doi: 10.1109/ACCESS.2019.2891532.

R. H. Osgouei, L. Marechal, C. Kontovounisios, and F. Bello, “Soft Pneumatic Actuator for Rendering Anal Sphincter Tone,” IEEE Trans Haptics, vol. 13, no. 1, pp. 183–190, 2020, doi: 10.1109/TOH.2020.2968446.

F. S. Farimani, M. Mojarradi, E. Hekman, and S. Misra, “PneuAct-II: Hybrid Manufactured Electromagnetically Stealth Pneumatic Stepper Actuator,” IEEE Robot Autom Lett, vol. 5, no. 2, pp. 3588–3593, 2020, doi: 10.1109/LRA.2020.2974652.

V. Groenhuis and S. Stramigioli, “Rapid Prototyping High-Performance MR Safe Pneumatic Stepper Motors,” IEEE/ASME Transactions on Mechatronics, vol. 23, no. 4, pp. 1843–1853, 2018, doi: 10.1109/TMECH.2018.2840682.

V. Groenhuis, F. J. Siepel, and S. Stramigioli, “Magnetic Resonance Pneumatic Stepper Motor With Multiple Concentric Shafts Output,” IEEE/ASME Transactions on Mechatronics, vol. 27, no. 4, pp. 2379–2389, 2022, doi: 10.1109/TMECH.2021.3102024.

J. C. Graves, W. H. Leal Turcio, and T. Yoneyama, “A Class of Mappings for Assessment of Aircraft Pneumatic Actuator Degradation Parameters,” IEEE Trans Reliab, vol. 68, no. 2, pp. 710–719, 2019, doi: 10.1109/TR.2018.2885646.

Y. Zhang, X. Chen, H. Wang, and L. Zhang, “A Study on the Control of a Sensorless Pneumatic Joint Using Predictive Control Method,” IEEE Access, vol. 7, pp. 59923–59932, 2019, doi: 10.1109/ACCESS.2019.2913950.

L. Wu, H. Wang, D. Pi, E. Wang, and X. Wang, “Hill-Start of Distributed Drive Electric Vehicle Based on Pneumatic Electronic Parking Brake System,” IEEE Access, vol. 8, pp. 64382–64398, 2020, doi: 10.1109/ACCESS.2020.2984679.

M. Mete and J. Paik, “Closed-Loop Position Control of a Self-Sensing 3-DoF Origami Module With Pneumatic Actuators,” IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8213–8220, 2021, doi: 10.1109/LRA.2021.3102952.




DOI: https://doi.org/10.18196/jrc.v4i3.18505

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Hairil Budiarto, Vivi Triwidyaningrum, Faikul Umam, Ach. Dafid

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 


Journal of Robotics and Control (JRC)

P-ISSN: 2715-5056 || E-ISSN: 2715-5072
Organized by Peneliti Teknologi Teknik Indonesia
Published by Universitas Muhammadiyah Yogyakarta in collaboration with Peneliti Teknologi Teknik Indonesia, Indonesia and the Department of Electrical Engineering
Website: http://journal.umy.ac.id/index.php/jrc
Email: jrcofumy@gmail.com


Kuliah Teknik Elektro Terbaik