Optimization of PID controller parameters based on distributed parallelgenetic algorithm

Aiming at the deficiency and limitation of simple genetic algorithm(SGA),distributed parallel genetic algorithm(PGA) is proposed to design the parameter optimization of PID controller.in this new algorithm,integrating the optimums of different genetic operator,and using parallel operation to improve the tuning efficiency,it optimizes the parameter more effectively.it analyses astringency and initial value sensitivity with the typical controlled object,applying it into simulator controls,PGA improves the micro adjusting of local search area,reduces the sensitivity of initial value.Then a satisfying performance is obtained,it is showed the feasibility of distributed PG.