变论域优化模糊PID控制器参数的温度控制
Temperature Control of Fuzzy PID Controller Parameters with Variable Universe Optimization
张楠 1凌菁 1吴庭 1昝煦森1
作者信息
- 1. 宁夏大学物理与电子电气工程学院,宁夏 银川 750021
- 折叠
摘要
针对红外干燥箱体积小、内部结构复杂及烘干温度控制精度高等特点,提出一种基于变论域优化模糊PID控制器参数的温度控制方案.以上海良品仪器公司的XQ205 型红外水分测定仪为研究对象,采用瞬态响应插值法建立红外干燥箱近似温度数学模型,为了进一步提高控制精度引入变论域策略对常规模糊PID控制器参数进行优化,通过设计伸缩因子α(x)和β(x)使得控制器模糊论域随误差变化而自适应调整,从而使得参数的选取更加灵活有效.仿真结果表明,相较于传统PID和常规模糊PID控制,变论域优化模糊PID控制策略具有无超调、动态响应快、稳态误差小及抗干扰能力强等优点,验证了该控制策略的正确性和有效性.
Abstract
A temperature control scheme based on variable universe optimization of fuzzy PID controller parameters is proposed for infrared drying ovens,which have the characteristics of small volume,complex internal structure,and high drying temperature control accuracy.Taking the XQ205 infrared moisture analyzer from Shanghai Liangpin Instrument Co.,Ltd.as the research object,a transient response interpolation method was used to establish an approximate temperature mathematical model for the infrared drying oven.In order to further improve control accu-racy,a variable universe strategy was introduced to optimize the parameters of the conventional fuzzy PID controller.By designing a scaling factor and making the fuzzy universe of the controller adaptively adjust with the error,the se-lection of parameters is more flexible and effective.The simulation experiments show that,compared with traditional PID and conventional fuzzy PID control,the variable universe optimization fuzzy PID control strategy has the advanta-ges of no overshoot,fast dynamic response,small steady-state error and strong anti-interference ability,correctness and validity.
关键词
红外干燥箱/变论域/模糊控制/伸缩因子Key words
Infrared drying oven/Variable universe/Fuzzy control/Scaling factor引用本文复制引用
基金项目
国家自然科学基金(61663039)
宁夏自然科学研究(2020AAC03008)
出版年
2024
NETL
NSTL
万方数据