Fussily self-adaptive PID temperature and humidity control system and method based on improved PSO (Particle Swarm Optimization) algorithm

Abstract

The invention discloses a fussily self-adaptive PID temperature and humidity control method based on an improved PSO (Particle Swarm Optimization) algorithm. The control method comprises the following steps: (S01) obtaining a collection quantity deviation and the variance ratio of the collection quantity deviation; (S02) carrying out fuzzing treatment on the collection quantity deviation and the variance ratio of the collection quantity deviation; (S03) performing fuzzing inference and defuzzing; (S04) iteratively obtaining the original values of PID parameters based on the improved PSO algorithm; and (S05) according to the optimized fuzzily self-adaptive PID parameters obtained in the step S04, carrying out fuzzily self-adaptive PID control on a fan frequency transformer, so as to control the frequency of the fan frequency transformer, the openness degrees of a cooling water three-way valve and a humidifying valve. Based on the PSO algorithm, the self-factors of particles and social factors are introduced, so that optimal PID original parameter values can be rapidly and accurately found; and by combining the fuzzy control and traditional PID control, the indoor temperature and humidity can be well monitored and optimized online in real time through a control system.

Description

technical field [0001] The invention relates to an indoor temperature and humidity control method, in particular to a fuzzy self-adaptive PID indoor temperature and humidity control system and a control method based on an improved PSO algorithm. Background technique [0002] In recent years, the application of central air-conditioning systems has become more and more extensive, and people have put forward higher requirements for the performance of central air-conditioning, such as air-conditioning comfort, energy saving, etc. Therefore, only considering the control of temperature or humidity alone is not enough Requirements for environmental comfort. Furthermore, the central air-conditioning system is a complex system, and its energy consumption accounts for more than 50% of the energy consumption of the entire building. , it is difficult to meet the needs of users in terms of control accuracy, stability and reliability of the system. Therefore, it is very necessary to seek...

AI Technical Summary

Problems solved by technology

However, in the existing technology, the control of the environment only considers the influence of temperature on the human body, which is not enough to meet the requirements of human comfort on the environment. Therefore, the influence of ambient humidity on the human body needs to be considered. The requirements of temperature and humidity can meet the requirements of human comfort on the environment; moreover, although the existing technology has a good energy-saving effect, in the existing technology, the control of the environment only considers the impact of temperature on the human body. This is not enough to meet people's requirements for environmental comfort. Therefore, the influence of environmental humidity on the human body needs to be considered. Only when people's requirements for environmental temperature and humidity are met at the same time can people's requirements for environmental comfort be met; moreover , although the existing technology has a better energy-saving effect, it is still necessary to find a more energy-saving and faster control method

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