基于Smith预估型模糊PID温度控制系统的设计  

Design of Fuzzy-PID Temperature Control System Based on Smith Predictive Model

作　　者：戴世纪 王仲根[1] DAI Shi-ji;WANG Zhong-gen(School of Electrical and Information Engineering,Anhui University of Science and Technology,Anhui Huainan 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《重庆工商大学学报（自然科学版）》2020年第6期13-18,共6页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：国家自然科学基金项目(61401003).

摘　　要：针对室内温控系统中响应时延大、稳定性较差以及超调量大等问题,设计一种基于Fuzzy-Smith滞后补偿型PID温度系统,将Smith补偿型控制器加入回路系统中,提前预判对象的性能,反馈到调节器,以此补偿过程误差,并通过Matlab软件设计模型;实验结果可知:传统PID算法和Fuzzy-PID算法的上升速度较快,但稳态品质较差,调节能力较弱;Smith算法的超调量相比其他算法小,能够使系统保持较好的鲁棒性,但曲线上升时间和系统调节时间较慢;Fuzzy-Smith控制的温度上升较快,超调量很小,调节到稳定温度值所花时间较少,明显改善温控系统的性能,能够达到预期的稳态特性;算法能有效地抑制纯滞后的影响,降低系统的超调量,加速响应过程。In order to solve the problems of the indoor temperature control system,such as response time lag,long adjustment time and large overshoot,a fuzzy PID temperature control system based on Smith estimation model is designed.To compensate the dynamic characteristics of the process,the Smith estimation controller is added to the feedback control system,and the simulation model is established by Matlab software.The experimental results show that the traditional PID algorithm and Fuzzy-PID algorithm have fast rising speed,but poor steady state quality and weak adjustment ability.Compared with other algorithms,the overshoot of Smith algorithm is small and it can make the system maintain good robustness,but the curve rise time and system adjustment time are slow.The temperature controlled by fuzzy-Smith rises rapidly,the overshoot is small,and it takes less time to adjust to the stable temperature value,which can significantly improve the performance of the temperature control system and achieve the expected steady-state characteristics.This algorithm can effectively suppress the effect of pure hysteresis,reduce the overshoot of the system and accelerate the response process.

关 键 词：模糊控制 Smith预估 温度控制 纯滞后 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]