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。
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.
出处
《传感器与微系统》
CSCD
北大核心
2013年第7期144-147,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(21206053
21276111)
中国博士后基金资助项目(2012M511198)
江苏高校优势学科建设工程资助项目(PAPD)
