基于卡尔曼滤波的模糊PID热处理温度控制系统的设计

doi:10.13251/j.issn.0254-6051.2023.08.038

金属热处理 ›› 2023, Vol. 48 ›› Issue (8): 235-241.DOI: 10.13251/j.issn.0254-6051.2023.08.038

基于卡尔曼滤波的模糊PID热处理温度控制系统的设计

李光保^1,2, 高栋¹, 路勇¹, 平昊², 周愿愿²

1.哈尔滨工业大学机电工程学院, 黑龙江哈尔滨 150000;
2.上海航天精密机械研究所, 上海 201600

收稿日期:2023-04-08 修回日期:2023-07-04 出版日期:2023-08-25 发布日期:2023-10-10
作者简介:李光保(1995—),男,工程师,博士研究生,主要研究方向为机电一体化控制、智能检测,E-mail: 18363998150@163.com

Design of fuzzy PID heat treatment temperature control system based on Kalman filter

Li Guangbao^1,2, Gao Dong¹, Lu Yong¹, Ping Hao², Zhou Yuanyuan²

1. School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150000, China;
2. Shanghai Aerospace Precision Machinery Research Institute, Shanghai 201600, China

Received:2023-04-08 Revised:2023-07-04 Online:2023-08-25 Published:2023-10-10

摘要/Abstract

摘要： 针对航天复杂铸造零件热处理工艺中温度控制存在的滞后性、超调量、易干扰、响应速度慢等问题,提出了一种基于卡尔曼滤波的模糊PID(Proportional-integral-derivative)温度控制方法,采用粒子群算法(PSO)实现PID控制器的参数优化,通过卡尔曼滤波完成对于测量噪声的滤波,最后基于模糊策略实现温度控制的快速响应和超调控制,通过对模糊PID控制进行研究,分析其模糊规则并且进行模糊推理,根据热处理工艺温度控制要求,按照其推理规则,选取最适合的控制因子。通过运用MATLAB软件进行仿真对比,证明了设计的热处理温度控制系统准确性得到较大的提高,系统的鲁棒性较好,响应速度明显提升,超调量减小,调节时间变短,对干扰也有较强的抑制作用。

关键词: 热处理, 卡尔曼滤波, 粒子群算法, 模糊PID, 温度控制, 抗干扰

Abstract: Aiming at the problems of hysteresis, overshoot, easy interference and slow response of temperature control in the heat treatment process of aerospace complex casting parts, a fuzzy PID(proportional-integral-derivative) temperature control method based on Kalman filter was proposed. Particle swarm optimization (PSO) was used to optimize the parameters of PID controller, and Kalman filter was also used to filter the measurement noise. Finally, the fuzzy strategy was used to realize the rapid response and overshoot control of temperature control. Through the research of fuzzy PID control, fuzzy rules were analyzed and fuzzy reasoning was carried out. According to the requirements of heat treatment process temperature control and its reasoning rules, selecting the most suitable control factor, through the simulation comparison with MATLAB software, it is proved that the accuracy of the designed heat treatment temperature control system is greatly improved, the robustness of the system is better, the response speed is obviously improved, the overshoot is reduced, the adjustment time is shortened, and the interference is also strongly inhibited.

Key words: heat treatment, Kalman filter, particle swarm optimization, fuzzy PID, temperature control, anti-interference

中图分类号:

TG155.4

李光保, 高栋, 路勇, 平昊, 周愿愿. 基于卡尔曼滤波的模糊PID热处理温度控制系统的设计[J]. 金属热处理, 2023, 48(8): 235-241.

Li Guangbao, Gao Dong, Lu Yong, Ping Hao, Zhou Yuanyuan. Design of fuzzy PID heat treatment temperature control system based on Kalman filter[J]. Heat Treatment of Metals, 2023, 48(8): 235-241.

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基于卡尔曼滤波的模糊PID热处理温度控制系统的设计

Design of fuzzy PID heat treatment temperature control system based on Kalman filter

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