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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.
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关键词:
- 混沌 /
- 统一混沌系统 /
- 遗传算法 /
- 比例-积分-微分控制
Proportional-integral-derivative (PID) control of unified chaotic system (UCS) was researched. For optimization of PID controller's structure and parameners, a parallel genetic algorithm (PGA) was proposed. In GA evolution process, hybri d decimal system and binary system matrix encoding technique was adopted. Simula tion study results of optimal PID control for UCS show that: 1) UCS can be cont rolled to unstable zero equilibrium point by using only one PI controller. 2) U CS can be controlled to any unstable non-zero equilibrium point by using three PI controllers. 3) The proposed PGA owns global optimization ability, it can av oid premature problem of simple GA. 4) The control system obtained good regulat ing performance and strong robustness.-
Keywords:
- chaos /
- unified chaotic system /
- genetic algorithm /
- proportional-integral-deriva tive control
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