Matlab Simulink realizes fuzzy PID control of time-delay temperature control system of central air conditioning

1、 Content abstract

matlab simulink Implement fuzziness pid Control the time-delay temperature control system of central air conditioning
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2、 Content description

Central air conditioning system is a complex system , Its energy consumption accounts for 50% above , It's a big energy consumer , The current control mode generally adopts the traditional PID Control algorithm , Its control effect is not satisfactory , In the control accuracy of the system 、 Performance aspects such as stability and reliability , It is difficult to meet the needs of users [1]. Fuzzy control does not need the precise description of the controlled object , To solve nonlinearity 、 Time lag and other issues provide a new way , It has been widely used in the field of control . As a new evolutionary algorithm of swarm intelligence, particle swarm optimization algorithm , It is easy to implement 、 It's fast 、 Strong global search ability and other characteristics have been proved to be effective in the field of control . So , This paper establishes the mathematical model of the temperature control system of the central air-conditioning room , Fuzzy control and PID Control combination , Design a new controller , Use particle swarm optimization algorithm to optimize control parameters offline , At the same time, in order to further improve PID Adaptive performance of controller , Introduce fuzzy control for on-line adjustment PID Parameters , according to Matlab The fuzzy logic toolbox in the environment simulates it , Good control effect has been achieved .2 The actual control objects of central air conditioning can be described by high-order differential equations . But for simplicity of analysis , As long as it can meet certain control accuracy , Low order models are often used to approximate the dynamic characteristics of control objects . The room temperature is the control object of the system , According to the law of conservation of energy , The differential equation of the object room can be established , It is a second-order system , But in control, the first-order model with pure delay is often used to replace , The simulation results show that , Using the first-order model with delay to describe the control object can fully meet the requirements of practical application [2].

3、 Simulation analysis

 

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4、 Reference paper

Central air conditioning room temperature intelligence PID Simulation study of control .pdf

The temperature and humidity of the central air conditioner adopts PID Discussion on control system .pdf