Servo drives are one of the most widely utilized devices in various mechanical systems and industrial applications to provide precise position control. The study of servo driver productiveness and performance index is the important task. In this work, PID controller and fuzzy logic controller (FLC) were developed to control the position of a DC servo drive. The MATLAB Simulink program was investigated and implemented to calculate the values of servo drive parameters, and a scheme for simulating the operation of a servo drive using different controllers was presented. A mathematical model of a DC servo drive for a positioning control system has been proposed. The control characteristics of the PID controller, fuzzy logic controller and fuzzy PID controller are compared. The simulation results have shown that the PID controller allows for an overshoot of about 1 % with a settling time of about 4 sec. The use of the fuzzy PID controller reduces the maximum overshoot to 1 % and decreases the settling time to 2 sec. As a result, the fuzzy PID controller allows for better performance and efficiency compared to other controllers.
1. Meena D.K., Chahar S. Speed control of DC servo motor using genetic algorithm // 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC). Indore: IEEE, 2017. P. 1–7. DOI: https://doi.org/ 10.1109/ICOMICON.2017.8279122
2. Saputra H.M., Nurhakim A., Mardanies M. Design of servo motor controller device for antenna stabilization based on PID controller // 2019 International Conference on Computer, Control, Informatics and its Application (IC3INA). Tangerang: IEEE, 2019. P. 162–165. DOI: https://doi.org/10.1109/IC3INA48034.2019.8949577
3. Зо Мьо Наин, Щагин А.В., Е Тет Линн. Автоматизация монтажа трубопроводов на основе композитных труб // Путь науки. 2018. Т. 1. № 10 (56). С. 33–38.
4. Щагин А.В., Йе Наунг, Зо Мин Кхаинг. Режимы управления двигателем постоян-ного тока с замкнутым контуром в высокоточных системах позиционирования // Изв. ву-зов. Электроника. 2018. Т. 23. № 3. С. 304–307. DOI: https://doi.org/10.214151/1561-5405-2018-23-3-304-308
5. Jasim M.H. Tuning of a PID controller by bacterial foraging algorithm for position control of DC servo motor // Engineering and Technology Journal. 2018. Vol. 36. Part A. No. 3. P. 287–294. DOI: http://dx.doi.org/10.30684/etj.36.3A.7
6. Aqeel-Ur-Rehman, Cai C. Autonomous mobile robot obstacle avoidance using fuzzy-PID controller in robot’s varying dynamics // 2020 39th Chinese Control Conference (CCC). She-nyang: IEEE, 2020. Vol. 2. P. 2182–2186. DOI: https://doi.org/10.23919/CCC50068.2020.9188467
7. Jilani A., Murawwat S., Jilani S.O. Controlling speed of DC motor with fuzzy controller in comparison with ANFIS controller // Intelligent Control and Automation. 2015. Vol. 6. No. 1. P. 64–74. DOI: http://dx.doi.org/10.4236/ica.2015. 61008
8. Velasco N.O.M., Rosario J.R.B. del, Bandala A.A. Development of a fuzzy logic con-troller for a smart RGB lighting system // 2019 IEEE 11th International Conference on Humano-id, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). Laoag: IEEE, 2019. P. 1–5. DOI: https://doi.org/ 10.1109/HNICEM48295.2019.9072854