Research on AGV Deviation Correction Based on Fuzzy Control

Abstract

Aiming at the problem of slow response time of automatic navigation vehicle path correction control, based on the traditional fuzzy control, the parameter adaptive contraction-expansion factor based on function model is introduced to realize the real-time adaptive adjustment of the parameters of the contraction-expansion factor based on the function model, so that the fuzzy variable universe follows the error change and adjusts, and avoids the problem of poor control effect caused by inappropriate variable universe. Finally, through simulation research, the method discussed in this paper improves the response time of AGV path correction.

Enhanced variable universe fuzzy PID control of the active suspension based on expansion factor parameters adaption and genetic algorithm

“…A large number of calculation examples and experimental results show that it is difficult to achieve good results using the traditional PID controller with fixed K p , K i , and K d coefficients [20]. In order to improve the performance and stability of complex control systems, Cai et al [21] combined fuzzy and PID control to propose a fuzzy PID control strategy, which uses fuzzy rules to adjust PID parameters online, and achieves the accurate matching of PID parameters with system error changes.…”