Air conditioner temperature control system based on pole assignment and control method thereof

Abstract

The invention relates to an air conditioner temperature control system based on pole assignment and a control method thereof. The system comprises a PID controller and a controlled object which are sequentially connected between the input end of the system and the output end of the system, a Smith estimation compensator which is connected between the output end and the input end of the PID controller, and a feed-forward controller which is connected between the output end of the PID controller and the input end of the system. The parameters of the PID controller are determined based on the poles of a transfer function of a closed-loop system. According to the method, the parameters of the PID controller are determined based on the poles of the transfer function of the closed-loop system, the method is simple, and the system can have good dynamic and static performance; and meanwhile, the Smith estimation compensator and the feed-forward controller are added, so that the time lag influence in the control system is reduced, the response time is shorter, and the control quality is improved.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to an air-conditioning temperature control system based on pole configuration and a control method thereof. Background technique [0002] Temperature control is the most intuitive factor to determine whether an air-conditioning system is effective. Intelligently controlling the temperature of an air-conditioned room can effectively improve the comfort of the room environment. [0003] At present, the temperature control of air-conditioned rooms has always been a hot and difficult point of research at home and abroad. The system in the air-conditioned room is a complex and changeable system. Its parameters such as temperature and humidity, personnel density, and equipment heat dissipation all have strong coupling. system. [0004] The traditional PID control has the advantages of simple structure and easy realization, and is widely used in industrial control. However, be...

AI Technical Summary

Problems solved by technology

Jiang Dingguo proposed a control algorithm based on the combination of BP neural network and PID, which greatly improves the performance of the control system, but the disadvantages are that the learning rate and convergence rate of BP neural network are slow and the training time is too long

However, the control principles and structures of these methods are relatively complicated, which makes the tuning of control system parameters more difficult, which is not conducive to the popularization and application of control algorithms.

Images