摘要
设计了基于LonWorks的复合模糊PID控制系统,分析了该系统的硬件组成和软件实现方案。在控制器设计上,改进了传统的模糊PID控制器结构,采用三个子模糊控制器组成一个复合模糊PID控制器,把过渡时间作为各子模糊控制器的公共输入并采用遗传算法(GA)对复合模糊PID控制器的隶属度函数进行了优化。通过Matlab仿真表明,该控制器在参数确定上更具客观性,在控制带有大滞后环节和非线性环节的工业对象时响应速度更快、抗干扰能力更强、动态性能更好。
The composition fuzzy PID control system based on LonWorks was presented ; the hardware composition and the software realization methods of the system were analyzed. In controller design, the structure of the classical fuzzy PID was improved, three sub-fuzzy controllers were as a composition fuzzy PID controller, the transition time were as every sub-fuzzy controller common input and genetic algorithm （GA） was used to optimize the membership functions of the composition fuzzy PID controller. After simulating with Matlab, it shows that the controller is able to have more objectivity in controller parameters derision and provides quicker response rate, stronger anti-jamming capability and better dynamic performance for industrial objects with large time-delay and nonlinear.
出处
《化工自动化及仪表》
CAS
2008年第5期16-18,23,共4页
Control and Instruments in Chemical Industry
基金
国家自然科学基金资助项目(60774028)
