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

A little

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