摘要
针对一类无法获知精确数学模型的过程对象,采用模糊自适应PID控制算法。该算法不需要精确的对象数学模型,同时保留了传统PID算法的优点,还能根据输入与输出的偏差值,基于模糊规则在线调整PID参数,在Matlab上进行相应的仿真验证,结果表明提高了控制品质。在B&R公司的可编程计算机控制器(PCC)上开发相应模块,用Automation Studio BASIC语言编写了控制程序,并完成了对一套实际温度对象的控制。实验结果表明,此算法具有较好的跟踪性能、抗干扰性和鲁棒性,适于工业应用。
An adaptive PID block based on fuzzy logic is proposed for no mathematical model of the process plant.It s not necessary to build the mathematical model of the plant,and it not only preserves advantages of traditional PID algorithm,but also adjust PID parameters based on fuzzy logics online according to the error between inputs and outputs.The Matlab simulation shows that the control quality is improved.This algorithm is developed on the programming computer controller(PCC) of B&R and realized by Automation...
出处
《控制工程》
CSCD
2008年第S2期130-133,共4页
Control Engineering of China
