Speed Control for Linear Induction Motor Based on Intelligent PI-Fuzzy Logic

Ahmed H. Ahmed, Ahmed S. Yahya, Ahmed J. Ali

Abstract


Nowadays, linear induction motors (LIM) are most used in applications such as transportation, liquid metal pumping, material handling, etc. These applications require large forces and high constant speed under changes in load. The LIM suffers from change in speed as a result of the force loads applied to it instantaneously, which causes high ripple in the force response and not constant speed. This research proposes solutions to these problems by designing an intelligent controller to improve the response variable-speed with different forces. LIM was represented by d-q model using MATLAB/Simulink based-on equivalent circuit equations for LIM and study dynamic performance of this machine. The motor was operated at different speeds and loads; the speed change was observed when the load changed. a PI-controller was designed to control velocity of the machine and keeping its velocity constant at load changes. the values of gains (Kp, Ki) was taken manually by using Ziegler method and this requires a long time as tuning the gain values at every reference speed. An intelligent self-tuning fuzzy-PI controller was prepared to select best values of gains and compared with PI-controller. The simulation outcomes display that fuzzy-PI controller has improved speed and force moving performances machine than PI-controller since we obtained least ripple in the force response. The results obtained in the simulation are interesting, given that the Fuzzy-PI controller designed has nonlinear behavior that achieves wide range of speeds operation for the machine at variable forces compared with traditional PI-controller, and this gave clear improvement in the engine’s performance.


Keywords


Linear Induction Motor (LIM); Proportional Integral (PI)-Fuzzy Logic Controller; D-Q Mode (LIM); Speed Control.

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References


J. L. F. Daya and R. A. Kumar, “A Novel Indirect Field Oriented Control of Induction Motor using Self-Tuning Fuzzy PID Controller,” International Journal of Systems Algorithms and Applications, vol. 3, no. 19, pp. 73-77, 2013.

B. K. Bose. Modern Power Electronics and AC Drives. 3rd Edition, Pearson Education Inc., 2007.

K. Laid, D. D. Z. Ghania, and A. Rachid, “Optimization of RST Controller for Speed Control of Linear Induction Motor Using Genetic Algorithm,” Recent Advances in Electrical & Electronic Engineering, pp. 260-268, 2023.

G. V. Deshpande and S. S. Sankeshwari, “Speed control of induction motors using hybrid pi plus fuzzy controller,” International Journal of Advances in Engineering & Technology, vol. 6, no. 5, p. 225, 2013.

E. Amiri and A. Mendrela, “A Novel Equivalent Circuit Model of Linear Induction Motors Considering Static and Dynamic End Effects,” IEEE Transactions on Magnetics, vol. 50, no. 3, pp. 120-128, 2014.

H. Shadabi, A. Rahnama Sadat, A. Pashaei, and M. B. B. Sharifian, “Speed Control of Linear Induction Motor Using DTFC Method Considering End-Effect Phenomenon,” International Journal on Technical and Physical Problems of Engineering, vol. 6, no. 21, pp. 75-81, 2014.

A. N. Seghir, T. Henni, and M. Azira, “Fuzzy and adaptive fuzzy pi controller-based vector control for permanent magnet synchronous motor,” 2013 10th IEEE International Conference on Networking Sensing and Control (ICNSC), pp. 491-496, 2013.

R. Arulmozhiyal, K. Baskaran, and R. Manikandan, “A fuzzy based pi speed controller for indirect vector-controlled induction motor drive,” India International Conference on Power Electronics 2010 (IICPE2010), pp. 1-7, 2011.

R. Dian, W. Xu, D. Hu, Y. Liu, and Q. Zhao, “Improved speed estimation method of linear induction motors,” IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, pp. 3664-3669, 2017.

M. Caruso, G. Cipriani, V. D. Dio, R. Miceli, and C. Spataro, “Speed control of double-sided linear induction motors for automated manufacturing systems,” 2014 IEEE International Energy Conference (ENERGYCON), pp. 33-38, 2014.

A. Ayodhya, S. Angadi, and A. B. Raju, “Comparative analysis of PI and Fuzzy based speed controllers for Indirect Field-oriented Control of Induction Motor Drives,” 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1-6, 2022.

E. H. El-Zohri and M. A. Mosbah, “Speed Control of Inverter-Fed Induction Motor Using Hybrid Fuzzy-PI Controller,” 2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE), pp. 216-221, 2020.

F. Lftisi, G. H. George, and M. A. Rahman, “Implementing fuzzy logic controller techniques for indirect vector control induction motor drives,” 2017 8th IEEE Annual Information Technology Electronics and Mobile Communication Conference (IEMCON), pp. 6-11, 2017.

U. K. Choudhary, S. Sundari, S. Likhith, and S. Vaitla, “Mathematical Modelling of Linear Induction Motor Considering End Effects in DQ Frame,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 11, no. 4, 2023.

A. Kushwaha, “Fuzzy Logic Controller Performance in Vector Control of Induction Machine,” 2017 Int. Conf. Technol. Adv. Power Energy (TAP Energy), pp. 1–5, 2017.

G. Singh and G. Singh, “Modeling and simulation of indirect field-oriented control of three phase induction motor using fuzzy logic controller,” Int J Eng Res Technol (IJERT), vol. 3, no. 8, pp. 1126-1130, 2014.

Merlin Mary N. J, C. Ganguly, and Kowsalya M., "Mathematical modelling of Linear Induction Motor with and without considering end effects using different reference frames," 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1-5, 2016.

V. Teriaiev, A. Dovbyk, V. Kornienko, M. Pechenik, and S. Buryan, "Generalized Mathematical Model of a Linear Induction Motor," 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO), pp. 741-745, 2022.

N. E. Ouanjli, S. Motahhir, A. Derouich, A. E. Ghzizal, A. Chebabhi, and M. Taoussi, “Improved dtc strategy of doubly fed induction motor using fuzzy logic controller,” Energy Reports, vol. 5, pp. 271-279, 2019.

F. Sarapulov, “Mathematical models of linear induction machines based on equivalent circuits: Textbook,” Yekaterinburg Russia UGTU-UPI, pp. 68-73, 2001.

M. N. Raju and M. S. Rani, “Mathematical Modelling of Linear Induction Motor,” International Journal of Engineering Technology, vol. 7, no. 4.24, pp. 111-114, 2018.

W. Ma, L. Xi, Y. Zhang, Z. He, X. Zhang, and Z. Cai, “Design and comparison of linear induction motor and superconducting linear synchronous motor for electromagnetic launch,” 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA), pp. 1-5, 2021.

J. -H. Jeong, J. Lim, C. -W. Ha, C. -H. Kim, and J. -Y. Choi, “Thrust and efficiency analysis of linear induction motors for semi-high-speed Maglev trains using 2D finite element models,” 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), pp. 1-1, 2016.

B. G. Markov and D. G. Markova, “Comparison of Methods for Control of Linear Induction Motors,” 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), pp. 141-144, 2020.

W. Xu, D. Hu, and C. X. Mu, “Novel efficiency optimization control algorithm for single-sided linear induction motor,” 2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), pp. 48-49, 2015.

S. Nakatani, K. Sannomiya, D. Okamori, T. Morizane, N. Kimura, and H. Omori, “Experimental Confirmation of Speed and Air Gap Control with Only Linear Induction Motor for Levitation,” 2019 12th International Symposium on Linear Drives for Industry Applications (LDIA), pp. 1-5, 2019.

M. F. Elmorshedy, W. Xu, Y. Liu, S. M. Allam, M. M. Ali, and M. Dong, “Sensorless Direct Thrust Control of a Linear Induction Motor Based on MRAS,” 2019 12th International Symposium on Linear Drives for Industry Applications (LDIA), pp. 1-6, 2019.

M. F. Elmorshedy, W. Xu, M. M. Ali, and S. A. Bukhari, “Speed Regulation of Linear Induction Motor with Finite State Predictive Thrust Control Based on Sliding Mode Controller,” 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA), pp. 1-6, 2021.

S. Nakatani, D. Okamori and T. Morizane, “Verification of Control Performance when Driving Linear Induction Motor with Superimposed Frequency,” 2020 International Conference on Electrical Machines (ICEM), pp. 1246-1250, 2020.

S. K. Sunori, A. Mittal, V. S. Bisht, N. Joshi, P. Garia, and P. Juneja, “LQG Approach based Speed Control of Induction Motor,” 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), pp. 1-5, 2022.

A. Ayodhya, S. Angadi, and A. B. Raju, “Comparative analysis of PI and Fuzzy based speed controllers for Indirect Field-oriented Control of Induction Motor Drives,” 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1-6, 2022.

W. Yuze, Z. Wei, A. Chengliu, W. Kai, and W. Haifeng, “The Cooperative Control of Speed of Underwater Driving Motor Based on Fuzzy PI Control,” 2020 23rd International Conference on Electrical Machines and Systems (ICEMS), pp. 647-651, 2020.

Z. Lin, C. Cui, and G. Wu, “Dynamic Modeling and Torque Feedforward based Optimal Fuzzy PD control of a High-Speed Parallel Manipulator,” Journal of Robotics and Control, vol. 2, no. 6, pp. 527–538, 2021.

A. A. El-samahy and M. A. Shamseldin, “Brushless DC motor tracking control using self-tuning Fuzzy PID control and model reference adaptive control,” Ain Shams Engineering Journal, vol. 9, no. 3, pp. 341–352, 2018.

M. A. Shamseldin and A. A. EL-Samahy, “Speed control of BLDC motor by using PID control and self-tuning fuzzy PID controller,” 15th International Workshop on Research and Education in Mechatronics (REM), pp. 1-9, 2019.

C. -T. Chao, N. Sutarna, J. -S. Chiou, and C. -J. Wang, “An Optimal Fuzzy PID Controller Design Based on Conventional PID Control and Nonlinear Factors,” Applied Sciences, vol. 9, no. 6, 2019.

A. Ramya, A. Imthiaz, and M. Balaji, “Hybrid Self Tuned Fuzzy PID controller for speed control of Brushless DC Motor,” Automatika, vol. 57, no. 3, pp. 672–679, 2017.

S. Gobinath and M. Madheswaran, “Deep perceptron neural network with Fuzzy PID controller for speed control and stability analysis of BLDC motor,” Soft Computing, vol. 24, no. 13, pp. 10161–10180, 2020.

A. Ramya, M. Balaji, and V. Kamaraj, “Adaptive MF tuned Fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique,” The Journal of Engineering, vol. 2019, no. 17, pp. 3947–3950, 2019.

J. Xu, L. Xiao, M. Lin, and X. Tan, “Application of Fuzzy PID Position Control Algorithm in Motion Control System Design of Palletizing Robot,” Security and Communication Networks, vol. 2022, pp. 1–11, 2022.

N. Y. Allagui, F. A. Salem, and A. M. Aljuaid, “Artificial Fuzzy-PID Gain Scheduling Algorithm Design for Motion Control in Differential Drive Mobile Robotic Platforms,” Computational Intelligence and Neuroscience, vol. 2021, 2021.

S. Krishna and S. Vasu, “Fuzzy PID based adaptive control on industrial robot system,” Materials Today: Proceedings, vol. 5, no. 5, pp. 13055–13060, 2018.

M. Rabah, A. Rohan, Y. J. Han, and S. H. Kim, “Design of FuzzyPID Controller for Quadcopter Trajectory-Tracking,” The International Journal of Fuzzy Logic and Intelligent Systems, vol. 18, no. 3, pp. 204–213, 2018.

H. Maghfiroh, M. Ahmad, A. Ramelan, and F. Adriyanto, “FuzzyPID in BLDC Motor Speed Control Using MATLAB/Simulink,” Journal of Robotics and Control, vol. 3, no. 1, pp. 8–13, 2022.

P. Chotikunnan, R. Chotikunnan, A. Nirapai, A. Wongkamhang, P. Imura, and M. Sangworasil, “Optimizing Membership Function Tuning for Fuzzy Control of Robotic Manipulators Using PID-Driven Data Techniques,” Journal of Robotics and Control, vol. 4, no. 2, pp. 128–140, 2023.

R. Kristiyono and W. Wiyono, “Autotuning Fuzzy PID Controller for Speed Control of BLDC Motor,” Journal of Robotics and Control, vol. 2, no. 5, pp. 400–407, 2021.

D. Somwanshi, M. Bundele, G. Kumar, and G. Parashar, “Comparison of Fuzzy-PID and PID Controller for Speed Control of DC Motor using LabVIEW,” Procedia Computer Science, vol. 152, pp. 252–260, 2019.

A. Shuraiji and S. Shneen, “Fuzzy Logic Control and PID Controller for Brushless Permanent Magnetic Direct Current Motor: A Comparative Study,” Journal of Robotics and Control, vol. 3, no. 6, pp. 762–768, 2022.

G. L. Demidova, D. V. Lukichev, and A. Y. Kuzin, “A Genetic Approach for Auto-Tuning of Adaptive Fuzzy PID Control of a Telescope’s Tracking System,” Procedia Computer Science, vol. 150, pp. 495–502, 2019.

H. Hu, T. Wang, S. Zhao, and C. Wang, “Speed control of brushless direct current motor using a genetic algorithm–optimized Fuzzy proportional integral differential controller,” Advances in Mechanical Engineering, vol. 11, no. 11, 2019.

A. Singh and V. K. Giri, “Design and Analysis of DC Motor Speed Control by GA Based Tuning of Fuzzy Logic Controller,” International journal of engineering research and technology, vol. 1, 2012.

B. Riadl, H. Youcef, M. Mohammed, and M. Elarkam, “Particle Swarm Optimization for tuning a Fuzzy Supervisory Controller Parametesrs (Takagi Seguno and Mamdani Engines),” Algerian Journal of Signals and Systems, vol. 5, no. 2, pp. 92-97, 2020.

A. J. Abougarair, “Model Reference Adaptive Control and Fuzzy Optimal Controller for Mobile Robot,” Journal of Multidisciplinary Engineering Science and Technology, vol. 6, no. 3, pp. 9722-9728 2019.

H. Li, H. Sun, and L. Hou, “Adaptive Fuzzy PI Prescribed Performance Tracking Control for Switched Nonlinear Systems with Dead-Zone Input and External Disturbances,” IEEE Access, vol. 8, pp. 143938–143949, 2020.

I. Birou, V. Maier, S. Pavel, and C. Rusu, “Indirect vector control of an induction motor with fuzzy-logic based speed controller,” Advances in Electrical and Computer Engineering, vol. 10, no. 1, pp. 116-120, 2010.

Y. Shi, Z. Qiao, K. Bai, G. Chen, and Z. Liu, “A fuzzy adaptive PID control algorithm with improved quantification factor,” in Journal of Physics: Conference Series, vol. 1828, no. 1, p. 012154, 2021.




DOI: https://doi.org/10.18196/jrc.v5i5.22203

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