In order to improve the tracking precision of motion path of parallel robot

a fuzzy PID controller is designed

and a hybrid algorithm of particle swarm optimization and genetic algorithm is proposed.The parameters of fuzzy PID controller are optimized by hybrid algorithm

and the global optimal values of PID controller parameters are searched.In different environments

the motion path tracking of parallel robot is simulated by MATLAB software

and the tracking effect is compared and analyzed with that before optimization.The results show that in non-interference environment

the motion path tracking error of the parallel robot is small

but the response speed before optimization is slow at the beginning

while the response speed of the fuzzy PID control system after optimization is fast at the beginning.In the interference environment

the path tracking error of parallel robot is larger before optimization

and smaller after optimization.The hybrid algorithm is used to optimize the fuzzy PID controller

which can adjust the parameters of the fuzzy PID controller and improve the motion path tracking precision of the parallel robot.