基于模糊PID控制的智能温度控制系统研究

Research on Intelligent Temperature Control System based on Fuzzy PID Control

温度控制系统是工业生产和生活中常用的控制系统,目前常用的控制算法包括PID控制、模糊控制、自适应控制和神经网络控制等。其中,PID控制是最常用的控制算法,但其精度受到温度变化的影响较大,即PID参数不能自动调整以适应环境变化。为了解决PID温度控制系统适应性不强的问题,引入模糊控制系统,与传统PID控制相结合,对温度控制系统进行研究与分析。运用Matlab模糊工具箱搭建模型并仿真,对比了传统PID温度控制与模糊PID温度控制,结果表明模糊PID温度控制效果较好。

Temperature control system is a commonly used control system in industrial production and life,and the commonly used control algorithms include PID control,fuzzy control,adaptive control and neural network control.Among them,PID control is the most commonly used control algorithm,but its accuracy is greatly affected by the speed of temperature change,that is,PID parameters cannot be automatically adjusted to adapt to environmental changes.In order to solve the problem that the PID temperature control system is not adaptable,this paper introduces a fuzzy control system and combines it with traditional PID control to study and analyze the temperature control system.The Matlab Fuzzy Toolbox was used to build and simulate the traditional PID temperature control with the fuzzy PID temperature control,and the results showed that the fuzzy PID temperature control effect was better.