摘要
针对不确定性导致的复杂大时滞过程控制精度低的问题,提出了一种基于算法融合的控制策略。研究了控制难点与控制论特性,基于大时滞复杂过程特性,融合了积分控制有利于消除稳态误差,Smith预估控制有利于时滞的补偿,模糊控制有利于处理某些不确定性控制,集成各自的优势,给出了一种I-Fuzzy-Smith控制算法。基于Matlab仿真,以大时滞惯性过程为例,分别采用PID、FuzzySmith和I-Fuzzy-Smith控制进行了比较研究,响应验证了融合控制策略在系统动、静态性能和鲁棒性方面的优势。研究结果表明:提出的融合控制策略控制精度高,并表现出很强的鲁棒性。
Aiming at the puzzle of being lower in control precision of complicated large lag process resulted by uncertainty,the paper presented a sort of control strategy based on algorithm fusion. In the paper,it studied the control puzzle and cybernetics characteristic,based on the complex process characteristic with large lag,fused that the integral control is propitious to eliminate the steady error,Smith estimator control is helpful for time lag compensation,and fuzzy control is conducive to deal with some uncertainty controls.Based on the integration of their respective ad-vantages,it gave a sort of I-Fuzzy-Smith control algorithm.Based on MATLAB simulation,it took the inertial process with large time lag as an example,and conducted the comparative study re-spectively by PID,Fuzzy-Smith and I-Fuzzy-Smith control,and the response demonstrated that the fusion control strategy would be more advantages in respect of system dynamic ＆amp;static per-formance and robustness than others.The research result shows that the proposed fusion control strategy is high in control precision,and shows very strong robustness.
出处
《机床与液压》
北大核心
2014年第6期37-41,共5页
Machine Tool & Hydraulics
基金
Supported by project of Chongqing Education Commission(2010-22-09)
关键词
模糊控制
SMITH预估控制
积分控制
融合控制策略
Fuzzy control
Smith estimator control
Integral control
Fusion based control strategy
