混沌优化模糊控制器在铝电解控制中的应用  

Fuzzy Controller Based on Chaos Optimization and Its Application to the Aluminium Electrolytic Cell Control System

作　　者：袁艳[1] 张泰山[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《计算机测量与控制》2005年第5期449-451,共3页Computer Measurement &Control

摘　　要：设计了基于CAN总线的预焙铝电解槽计算机控制系统的总体方案及基于混沌优化的电解质温度模糊控制器。将混沌优化算法引入模糊控制器, 采用混沌粗搜索与细搜索相结合的优化方法, 对量化因子、比例因子及控制规则进行优化。利用该控制器实现对预焙铝电解槽的温度控制。实验结果表明, 该方法能有效地实现模糊器参数和控制规则的在线优化, 控制具有鲁棒性好、适应性强、精度高等优点, 算法结构简单, 容易实现, 控制性能优于普通的模糊控制器。The computer control system scheme of Aluminum electrolytic cell based on CAN bus and Fuzzy controller based on chaos optimization are designed. Chaos optimization is inducted to Fuzzy controller, the control parameters and control principles can be optimized by means of combination of global and partial chaos searching. The controller is applied to realize the control of pre-baked aluminium electrolytic cell temperature. The experiment results show that the optimization method is efficient to search for controller parameters, and the control has advantages of strong robustness and adaptability. The algorithm has simple structure and is easy to realize, the control performance is better than the common one.

关 键 词：模糊控制器 预焙铝电解槽 计算机控制系统 应用 混沌优化算法 控制规则 电解质温度 CAN总线 总体方案 优化方法 量化因子 比例因子 温度控制 在线优化 算法结构 控制性能 模糊器 鲁棒性 适应性 搜索 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] TF821[自动化与计算机技术—控制科学与工程]