| Intelligent control is the latest development stage of automatic control, and it is mainly used to solve the complex control systems that are difficult solved by traditional control methods. It is a new branch of the automation science and technology and occupies an important position in the whole field of science, which means it charged objects that do not need to know the structure and parameters of the case, and just reasoning or change control strategy online based on previous experience and knowledge. Therefore, simulated human intelligence control is an important development direction of the intelligent control. HSIC can select the appropriate control mode to control based on the size and the change trend of the error. The algorithm can achieve fast and high precision control but it does not require to know and online identify the exact model of the controlled object.What's more, it has strong robustness. Adaptive fuzzy PID control algorithm updates the parameters of PID controller with fuzzy controller. It adjusts the parameters in real-time according to the error and the rate of change of the PID controller in different operating conditions, therefore PID can achieve better control effect. This thesis based on the model of gas water heater control system, studied the application of HSIC algorithm and fuzzy PID control algorithm in temperature control.This thesis first introduces the significance of the topic, the theory of intelligent control and the present status of this technology, and then introduces the basic theory of HSIC and how to design a system based on the HSIC algorithm. The study starts from the algorithm of temperature control in gas water heater, building the mathematical model of gas water heater, and then focuses on how to achieve the optimization of intelligent temperature control algorithm, fulfill the design of the algorithm of humanoid intelligent temperature control and parameter tuning of thermostat control. With the parameters of the gas water heater control system which comes from the experiment, we build the simulation model of gas water heater control system by using SIMULINK in Matlab, and debug it with the parameters of the humanoid intelligent control algorithm, then we simulate a variety of practical environments and disturbed condition to test the effect of intelligent temperature control. Finally, we use the adaptive fuzzy PID control algorithm for the thermostat control in gas water heater and build the simulation model in SIMULINK, debug the parameters and test the effect of the algorithm by simulating a real situation, then compare and analyze the results of simulation of the adaptive fuzzy PID temperature control algorithm and the human intelligent temperature control algorithm。... |