Research Of Variable Flow Air Conditioning Water System Based On Improved Particle Swarm Optimization Algorithm

In twenty-first Century China intelligent building becomes the construction market trend, the world faces a shortage of resources, the deterioration of the environment and the energy consumption and serious problem, the human are also constantly through the learning of new knowledge and innovative practice, efforts to improve the people’s quality of life.Air conditioning system for intelligent building is in an important part,but also the whole building energy consumer,cause the great attention of people in recent years. In recent years,variable air volume air conditioning system with energy-saving advantages obtained the very big development,reduce energy consumption of air conditioning system in a variety of measure,air conditioning system optimization control becomes very important.This article from the system point of view, using the process optimal control theory the main variable flow air conditioning chilled water system optimization control.In the chilled water system,The difference of supply and return water temperature remains constant, when the water supply to remain a constant condition, The return water temperature can reflect the size of air conditioning load. Therefore, by detecting the water temperature to control the pump motor speed to adjust the frozen water pump flow to achieve the purpose of energy saving.In recent years, with the development of intelligent algorithm, researchers have been using artificial neural network and genetic algorithm intelligent optimization algorithm and the traditional PID control combination, in order to obtain the better control effect.Particle swarm algorithm is an intelligent algorithm in the rapid development of a simple and efficient algorithm, it has strong advantages, searching ability. The traditional PID control parameters is difficult to determine,often need certain control experience,and often using a trial-and-error methods is not high, and the system for the disturbance suppression capability is poor, which can not reach the ideal control effect. Aiming at the drawbacks of the traditional PID control,an improved particle swarm optimization algorithm and its application in PID control.The use of particle swarm algorithm optimization capabilities, so that the control system can independently according to the disturbance fonn or intensity, automatic completion of preset control requirements.In this paper,variable flow air conditioning chilled water system modeling based on particle swarm optimization algorithm, discusses with the conventional PID control method, and further completed a pair of variable flow air conditioning chilled water system control.The main contents of paper include the following aspects:(1) Master of variable flow air conditioning system theory, structural composition and working principle.(2) Collection of particle swarm optimization theory and related knowledge, through the study of the particle swarm optimization algorithm for the original model and realization process,establishing control system based on PSO algorithm flow chart.(3) According to the variable flow air conditioning chilled water system water temperature regulating water pump speed to adjust the chilled water pump flow to the air conditioning load changes.(4) For the PID controller in the system control process defects,using the improved particle swarm algorithm for system control link controller optimization and simulation. (5) Through the simulation on the system control part carries on the contrast analysis,the control part of the conventional control strategy did not reflect the good control performance, and the improved particle swarm optimization control on system regulation showed better control performance.