Study on fuzzy PID with Genetic Algorithm control strategy of hydraulic servo system

摘要

In this paper, Fuzzy PD control strategy is adapted. In order to obtain real time track control to system and improve dynamic and static characteristic of system, three control parameters of PD are optimized by Genetic Algorithm (GA). Experimental results are shown that the “force sense” is produced on the joy stick and the operator is able to feel sensitively the reaction forces. Secondly, the novel control strategy and optimization fuzzy PD arithmetic has good track precision and improves master-slave track characteristic of displacement and force feedback characteristic. At the same time, it has rather strong self-adaptability and anti-jamming capability.