【摘要】 常用温度控制包括常规PID、模糊、神经网络、Fuzzy-PID、神经网络PID、模糊神经网络、遗传PID及广义预测等控制方法。常规PID控制易于建立线性温度控制系统被控对象模型。模糊控制基于规则库,并以绝对或增量形式给出控制决策。神经网络控制采用数理模型模拟生物神经细胞结构,并用简单处理单元连接成复杂网络;Fuzzy-PID为线性控制,且结合模糊与PID控制优点。并给出了各方法的控制特性、功能及主要应用场合。更多还原

【Abstract】 Common temperature control methods include routine PID, fuzzy, neural network, Fuzzy-PID, neural network PID, fuzzy neural network, Genetic PID, Generalized Predictive and so on. Routine PID control was easy to establish linear temperature controlled object model. Fuzzy control was based on rules base, and gave control decisions with absolute or increment form. Neural network control used mathematical model to simulate biological nerve cell structure, and joined simple unit to form complex network. Fuzzy-PID control was linear control and combined the advantages of fuzzy and PID control. Through contrasting and analyzing of the typical temperature control methods, the control characteristics, functions and major application occasion of these methods were given.更多还原