文档介绍：摘要
PID控制由于其算法简单、鲁棒性好及可靠性高,被广泛应用于过程控制和运动控制中,尤其适用于可建立精确数学模型的确定性系统。然而实际工业生产过程往往具有非线性、时变不确定性,难以建立精确的数学模型,应用常规PID控制器不能达到理想的控制效果。
为了克服传统PID控制的弱点,控制界已经提出了大量的对PID控制的改进方案。但这些方案一般是针对某些具体问题,缺乏通用性,附加的结构或算法也增加了控制器的复杂性,使它们的广泛应用受到限制
将模糊决策理论与常规PID控制技术结合,研制出模糊自适应PID控制器,并利用VB的ActiveX技术创建了模糊自适应PID控件,将该空间嵌入组态软件中进行实时控制,结果表明该控制策略具有较强的鲁棒性和适应性。
针对实际工业过程控制的难点,借鉴生物免疫系统中的免疫反馈原理,结合模糊控制可以逼近非线性函数的特点,分析了积分系数在系统响应过程中的非线性变化规律,提出了一种模糊免疫非线性PID控制方法。这种方法具有量小,调整时间短,抗干扰能力和鲁棒性强等优点,理论分析和仿真研究证明了该方法的可行性和有效性。
关键词:自适应,模糊控制,PID控制,模糊免疫非线性PID控制
Adaptive Fuzzy Control Research
ABSTRACT
PID control is widely used in motion control and process control because of its simple algorithm, good robust and reliability, particularly applicable to the certain systems of establish a precise mathematical model. Nevertheless, the actual production process are often nonlinear, uncertain time-varying, it is difficult to establish a precise mathematical model, the conventional PID control can not achieve the desired effect.
To e the weaknesses of traditional PID control, a lot of improve projects of the PID control have been put forward in the control industry. However, these projects are generally targeted at certain specific issues, the lack of universality. Additional structural or algorithm increased plexity of the controller, restrict their wide use.
This paper puts forward a technology binate the fuzzy decision theory and conventional PID control, researches and makes out a adaptive fuzzy PID controller (AFPID), by use of ActiveX of VB create a ActiveXof AFPID, embeds this ActiveX into configuration software to real-time control, the result shows this control tactic has stronger robust and adaptivity.
A fuzzy immune nonlinear PID control method is presented in order to solve the difficulties of actual industry process control. This method is based on the immune feedback principle in the biological immune system, the approaching ability for nonlinear function of fuzzy controller and the nonlinear change law of the