Legged Fire Fighter Robot Movement Using PID
Abstract
Proportional Integral Derivative (PID) control is a control system commonly used by industry. Approximately 90% of industrial equipment uses a PID controller because it is easy to use. In the Indonesian Fire Extinguisher Robot Contest (IFERC), the contested robots must follow the contours of the walls of the arena. A Fire extinguisher robot navigation was chosen because the race arena of the competition consisted of walls with different aisles and rooms. The navigation robots used PID control. This study designed and implemented a control algorithm for legged fire extinguishing robots using the PID method, where the PID control was processed in a microcontroller. The angles for each servo motor generated by the calculation of the PID enable the robot to navigate by taking decisions to move quickly or slowly, turn right, turn left and stop. The robot's proximity sensor data and fire sensors enable the fire to be extinguished. The result showed that the robot can carry out its duties optimally.
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P.-A. Crepon, A. M. Panchea, and A. Chapoutot, “Reliable Navigation Planning Implementation on a Two-Wheeled Mobile Robot,” in 2018 Second IEEE International Conference on Robotic Computing (IRC), 2018, vol. 2018-Janua, no. Line 1, pp. 173–174.
S.-H. Han, H.-J. Choi, P. Benz, and J. Loaiciga, “Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning,” in 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018, pp. 147–154.
S. Morad, H. Kalita, and J. Thangavelautham, “Planning and navigation of climbing robots in low-gravity environments,” in 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2018, pp. 1302–1310.
M. N. Mikhaylov and I. A. Lositskii, “Control and navigation of forest robot,” in 2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), 2018, pp. 1–2.
B. I. Adamov, “Influence of mecanum wheels construction on accuracy of the omnidirectional platform navigation (on exanple of KUKA youBot robot),” in 2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), 2018, pp. 1–4.
N. Baslan, S. Heerklotz, S. Weber, A. Heerklotz, B. Hofig, and J. Abu-Khalaf, “Navigation and Vision System of a Mobile Robot,” in 2018 19th International Conference on Research and Education in Mechatronics (REM), 2018, pp. 99–104.
N. Kumar and Z. Vamossy, “Laser Scan Matching in Robot Navigation,” in 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2018, no. 6, pp. 000241–000246.
T. Xuan Tung and T. Dung Ngo, “Socially Aware Robot Navigation Using Deep Reinforcement Learning,” in 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), 2018, vol. 2018-May, pp. 1–5.
R. Wang, L. Chen, J. Wang, P. Zhang, Q. Tan, and D. Pan, “Research on autonomous navigation of mobile robot based on multi ultrasonic sensor fusion,” in 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC), 2018, no. Itoec, pp. 720–725.
V. A. Bobkov, A. P. Kudryashov, S. V. Melman, and V. P. May, “Image-Based Navigation of Autonomous Underwater Robot and 3D Reconstruction of Environment,” in 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC), 2018, pp. 1–4.
T. Obo and E. Yasuda, “Intelligent Fuzzy Controller for Human-Aware Robot Navigation,” in 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, 2018, pp. 392–397.
T. Tsujimura, R. Aoki, and K. Izumi, “Geometrical Optics Analysis of Projected-Marker Augmented Reality System for Robot Navigation,” in 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, 2018, pp. 1–6.
ByungSoo Ko, Ho-Jin Choi, C. Hong, J.-H. Kim, Oh Chul Kwon, and C. D. Yoo, “Neural network-based autonomous navigation for a homecare mobile robot,” in 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), 2017, pp. 403–406.
A. Adib and B. Masoumi, “Mobile robots navigation in unknown environments by using fuzzy logic and learning automata,” in 2017 Artificial Intelligence and Robotics (IRANOPEN), 2017, pp. 58–63.
A. V. Savkin and C. Wang, “A method for collision free navigation of non-holonomic 3D robots in unknown tunnel like environments,” in 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017, vol. 2018-Janua, no. 4, pp. 936–940.
J. Guo, X. Xiao, P. Pan, and X. Luo, “A design of multi-vision localization and navigation service robot system,” in 2017 12th International Conference on Computer Science and Education (ICCSE), 2017, no. Iccse, pp. 787–790.
Z. Guoqing and L. Tao, “Bio-inspired autonomous navigation system for logistics mobile robots with inertial AHRS,” in 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), 2017, vol. 2017-Janua, pp. 971–975.
B. Aissa, C. Fatima, and A. Yassine, “Data fusion strategy for the navigation of a mobile robot in an unknown environment using fuzzy logic control,” in 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017, vol. 2017-Janua, pp. 1–6.
H. Li and A. V. Savkin, “A navigation algorithm for a non-holonomic mobile robot navigated by a sensor network in dynamic cluttered environments,” in 2017 36th Chinese Control Conference (CCC), 2017, pp. 5801–5804.
Y. Shiyi, L. Song, M. Wenhua, Z. Fengfeng, and S. Lining, “Research on Back Projection Method of Robot Navigation Based on Bi-plane Calibration Method,” in 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2017, pp. 1220–1223.
C. H. KAZANCI and A. F. KOCAMAZ, “PID Optimization on Differential Drive Mobile Robot,” in 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), 2018, pp. 1–6.
Y. Li, Z. Li, and Y. Wang, “Quadrotor Drift Error Correction Based on Adaptive PID,” in 2018 Chinese Automation Congress (CAC), 2018, pp. 446–451.
J. Gomez-Avila, C. Lopez-Franco, A. Y. Alanis, and N. Arana-Daniel, “Control of Quadrotor using a Neural Network based PID,” in 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2018, no. 1, pp. 1–6.
E. Malayjerdi, H. Kalani, and M. Malayjerdi, “Self-Tuning Fuzzy PID Control of a Four-Mecanum Wheel Omni-directional Mobile Platform,” in Electrical Engineering (ICEE), Iranian Conference on, 2018, pp. 816–820.
A. M. Zaki, O. Arafa, and S. I. Amer, “Microcontroller-based mobile robot positioning and obstacle avoidance,” J. Electr. Syst. Inf. Technol., vol. 1, no. 1, pp. 58–71, May 2014.
R. Palm and D. Driankov, “Fluid Mechanics for Path Planning and Obstacle Avoidance of Mobile Robots,” in Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2014, vol. 2, pp. 231–238.
R. Kumar et al., “Maze Solving Robot with Automated OAvoidance,” Procedia Comput. Sci., vol. 105, no. December 2016, pp. 57–61, 2017.
A. O. Adeodu, I. A. Daniyan, T. S. Ebimoghan, and S. O. Akinola, “Development of an Embedded Obstacle Avoidance and Path Planning Autonomous Solar Grass Cutting Robot for Semi-Structured Outdoor Environment,” in 2018 IEEE 7th International Conference on Adaptive Science & Technology (ICAST), 2018, vol. 2018-Augus, pp. 1–11.
I. W. S. Nirawana, K. Y. E. Aryanto, and G. Indrawan, “Mobile Robot Based Autonomous Selection of Fuzzy-PID Behavior and Visual Odometry for Navigation and Avoiding Barriers in the Plant Environment,” in 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM), 2018, no. 2, pp. 234–239.
S. Guo, Z. Wang, J. Guo, Q. Fu, and N. Li, “Design of the Speech Control System for a Upper Limb Rehabilitation Robot Based on Wavelet De-noising,” in 2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018, pp. 2300–2305.
DOI: https://doi.org/10.18196/jrc.1104
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