The control strategy of this six-degree-of-freedom test bench adopts Fuzzy-PID control, which combines fuzzy theory with the mature traditional PID control theory, and uses fuzzy theory to tune the three control parameters of PID to form a parameter self-tuning Fuzzy-PID control Device. The characteristics of the controlled object and the existence of interference in this control system require the designed control law to have the characteristics of strong robustness, certain intelligence, and easy implementation, so as to achieve stable and precise control of the system and achieve the control indicators required by the system. The study of control law is an important part of the control system design of the entire six-degree-of-freedom test bench. The control algorithm will make the motion process control have better speed, accuracy and stability.
In a control system where the characteristics of the object and the hardware and software have been basically determined, the control quality of the system depends on the control algorithm. Саранск, Россия, The quality of the control system depends on various factors such as the characteristics of the controlled object, the control scheme, the form and size of interference, etc. habil., Ogarev Mordovia State University, Saransk,
Jiangsu University of Science and Technology, Zhenjiang, China, ©Chen N., ORCID:0000-0001-6677-3653, Ogarev Mordovia State University, Saransk, Russia, Jiangsu University of Science and Technology, Zhenjiang, China, ©Levtsev A., SPIN-code: 7896-7312, Dr. ©Zhao G., ORCID: 0000-0002-2578-8450, OgarevMordovia State University, Saransk, Russia, SIMULATION EXPERIMENT RESEARCH ON SIX DEGREES OF FREEDOM TEST BENCH BASED ON FUZZY PID CONTROL STRATEGY The Fuzzy PID control strategy is simulated by MATLAB simulation software. The control strategy of this six-degree-of-freedom test bench adopts Fuzzy PID control, which combines fuzzy theory with the mature traditional PID control theory and uses fuzzy theory to tune the three control parameters of PID to form a parameter self-tuning Fuzzy PID control Device.
The quality of the control system depends on various factors such as the characteristics of the controlled object, the control scheme, the form and size of interference, etc.