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Heat pump temperature control system based on particle swarm fuzzy PID algorithm

A technology of temperature control system and fuzzy controller, which is applied in the direction of using electric mode for temperature control, auxiliary controller with auxiliary heating device, etc. parameters and other issues to achieve the effects of optimizing and improving temperature effects, smoothing output curves, and strong anti-interference ability.

Pending Publication Date: 2021-08-13
NANTONG UNIVERSITY
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  • Application Information

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Problems solved by technology

The traditional PID control control theory is very mature, easy to implement, and can eliminate static errors, but its disadvantage is that it cannot change parameters adaptively, so it cannot obtain better control effects for time-varying systems

Method used

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  • Heat pump temperature control system based on particle swarm fuzzy PID algorithm
  • Heat pump temperature control system based on particle swarm fuzzy PID algorithm
  • Heat pump temperature control system based on particle swarm fuzzy PID algorithm

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Embodiment

[0040] 1. Design of heat pump temperature fuzzy PID controller

[0041] A fuzzy control system generally refers to a system with fuzzy inputs, outputs, or states. Fuzzy control has strong robustness for the execution of linear or nonlinear systems. It is a typical intelligent control algorithm that simulates the logical thinking of people to achieve the control effect on the research system. Its structural block diagram is as figure 1 shown.

[0042] For a fuzzy control system, it is mainly necessary to determine the parameters of the system such as fuzzy sets, membership functions, fuzzy relations, and fuzzy logic. according to figure 1 It can be seen that the most important part of a fuzzy control system is the fuzzy controller, and the quality of a fuzzy controller control system depends on the fuzzy rules, fuzzy decision-making and reasoning algorithms that are artificially set according to the characteristics of the research system. Its composition is as figure 2 sh...

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Abstract

The invention discloses a heat pump temperature control system based on a particle swarm fuzzy PID algorithm. Preprocessed experimental data is subjected to a least square method and an auxiliary variable method to establish a mathematical model of an air source heat pump temperature control system. Due to the fact that a heat pump temperature control system has the characteristics of time varying, nonlinearity and pure lag, on the basis of fuzzy PID control, MATLAB is adopted to design a two-dimensional self-adaptive fuzzy PID controller based on the particle swarm optimization. By optimizing all parameters of the system, the water flow of the system can be well controlled, and the temperature control effect of the heat pump system is optimized and improved. And finally, stability verification is carried out, that is, after the system is stable, an interference signal is added to the system, and the system is interfered. The stable effect of the system is observed. A simulation result shows that the fuzzy PID algorithm based on the particle swarm optimization (PSO) has the advantages of very short control time, fast response and very strong anti-interference capability.

Description

technical field [0001] The invention belongs to the field of heat pump temperature control systems, and in particular relates to a heat pump temperature control system based on particle swarm fuzzy PID algorithm. Background technique [0002] The air source heat pump converts the energy in the air into heat energy for people to use, and has a great influence on the energy saving of social resources. Since the air source heat pump temperature control system has the characteristics of time-varying, nonlinear, and pure lag, the algorithm research of its control system needs to have the function of optimization and improvement. The traditional PID control control theory is very mature, easy to implement, and can eliminate static errors, but its disadvantage is that it cannot change parameters adaptively, so it cannot obtain better control effects for time-varying systems. Therefore, many scholars have studied the advanced control method combining fuzzy algorithm and PID to impr...

Claims

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Application Information

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IPC IPC(8): G05D23/32
CPCG05D23/32
Inventor 杨奕韩青青于婧雅顾海勤高龙任晓琳
Owner NANTONG UNIVERSITY
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