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中文摘要：
针对污水处理过程的非线性、不稳定性和不确定性,将活性污水处理系统非线性数学模型转换为参数有界的变参数正则状态方程,并对系统模型进行了可控性与稳定性分析,提出了一种基于混沌遗传算法优化的模糊自适应PID控制器。通过仿真实验表明：CGA法提高了种群个体的多样性,有效地避免了＂早熟＂和局部最优现象;优化后的控制器在超调量、上升速度、稳定时间等性能上得到明显改善。
英文摘要：
Aiming at nonlinear, instability and uncertainty of sewage treatment process,nonlinear math model of activated sludge sewage processing system is transformed into a variable parameter canonical equation of state, controllability and stability is analyzed and propose a kind of fuzzy adaptive PID controller based on chaos genetic algorithm（CGA）. Simulation test result shows that CGA improves diversity of individual species,effectively avoid ＇ premature＇ and local optimal phenomenon, and optimized controller performance is obviously improved in amount of overshoot, rise speed and stability of time.
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