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提出了一种并行遗传算法用于比例 积分 微分 (PID)控制器结构和参数的同时优化 ,遗传算法采用浮点数和二进制混合矩阵编码 .优化后的PID控制器用于统一混沌系统的控制 ,仿真研究结果表明 :1)用一个比例 积分 (PI)调节器可将统一混沌系统控制到零不动点 ;2 )用三个PI调节器可将统一混沌系统控制到非零不动点 ;3)所提出的并行遗传算法具有很强的全局优化能力 ,较好地克服了简单遗传算法的过早收敛问题 ;4 )整个控制系统具有很好的调节品质和很强的鲁棒性 ,对PID调节器用于控制混沌系统具有重要的参考价值 .
A parallel genetic algorithm is proposed for the simultaneous optimization of the structure and parameters of proportional-integral-derivative (PID) controller. The genetic algorithm uses floating-point and binary mixed-matrix coding. The optimized PID controller is used to control and simulate the chaotic system The results show that: 1) a PI controller can control the unified chaotic system to zero fixed point; 2) three PI regulators can control the unified chaotic system to a non-zero fixed point; 3) The proposed parallel genetic algorithm has strong global optimization ability and overcomes the premature convergence problem of the simple genetic algorithm. (4) The whole control system has good regulation quality and strong robustness. PID controller It has important reference value in controlling chaotic system.