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- Title
Fuzzy PID Control of the Three-Degree-of-Freedom Parallel Mechanism Based on Genetic Algorithm.
- Authors
Zhu, Zhifang; Liu, Yuanjie; He, Yuling; Wu, Wenhao; Wang, Hongzhou; Huang, Chong; Ye, Bingliang
- Abstract
It is necessary to upgrade and transform the sorting equipment in the industrial production line. In order to improve production efficiency and reduce labor intensity, a high-speed lightweight parallel mechanism control system for the high-speed sorting and packaging of light items was studied. A fuzzy PID controller based on genetic algorithm (GA) optimization is proposed according to the nonlinear and strong coupling characteristics of the parallel mechanism (PM) control system. The inverse kinematic analysis was conducted to map the workspace trajectory tracking problem to the joint space. It was transformed into the trajectory planning and solving problems in the joint space. The motion trajectory was obtained utilizing quintic polynomial interpolation. Finally, the servo control system model was established, and the PID control parameters were optimized and self-tuned by the GA. They were applied to the fuzzy PID controller for simulation experiments. The simulation results showed that the GA-optimized fuzzy PID control system compared with the fuzzy PID control system had a 23.39% shorter rise time, 22.32% less regulation time, and 7.18% less steady-state error. The control system had a good dynamic and steady-state performance.
- Subjects
GENETIC algorithms; FUZZY control systems; PID controllers; QUINTIC equations; PROBLEM solving; INDUSTRIAL equipment; FUZZY neural networks
- Publication
Applied Sciences (2076-3417), 2022, Vol 12, Issue 21, p11128
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app122111128