Open AccessResearch on Fuzzy PID Control of Physical Exercise Supporting Robot Speed Control System
Author(s) -
Xiaoping Gou,
Wanjun Zhang,
Jingxuan Zhang,
Jingyi Zhang,
Jingyan Zhang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/2/022052
Subject(s) - pid controller , control theory (sociology) , control system , fuzzy control system , control engineering , process (computing) , computer science , electronic speed control , robot , fuzzy logic , simulation , engineering , control (management) , temperature control , artificial intelligence , electrical engineering , operating system
Physical exercise assisted robot speed regulation has higher requirements on dynamic characteristics of the system and faster response speed, and there are many uncertain factors in the process of climbing athletes in the process of climbing the building. Single closed-loop negative feedback control based on traditional control strategy System speed regulation is unsatisfactory. Based on the above problems, this paper establishes the mathematical model of the fuzzy PID control system of the physical exercise assisted robot speed control system, and designs a double closed loop speed control system based on fuzzy PID, and compares it with the traditional PID control; The sprint speed is given to the sinusoidal speed given curve by referring to the stability of the elevator climbing process and the comfort of the occupant. Using Matlab simulation, the simulation results show that in the physical training robot speed control system, the fuzzy PID control is more stable than the traditional PID control start and braking process, with higher comfort, smaller error and higher precision. Stair climbing has a strong use value and brings good value to the economy and society.