Optimization control algorithm of chilled water system

Abstract

The invention relates to an optimization control algorithm of a chilled water system. The optimization control algorithm comprises the following steps that controlling is carried out on the chilled water system by adopting a PID controller, and three parameters K, K and K<d> of the PID controller are acquired by adopting an improved sparrow search algorithm, and the improvement method of the sparrow search algorithm at least comprises the steps that improving is carried out on the sparrow search algorithm by adopting a random walk strategy, and improving is carried out on the sparrow search algorithm by adopting Gaussian mutation. According to the optimization control algorithm of the chilled water system, random disturbance is carried out on a sparrow group by using the random walk strategy, the search capability of the sparrow group is enhanced, and the limit value of a decision variable is reduced along with the increase of the number of iterations; in addition, Gaussian mutation is added, sufficient search is carried out around individuals, and compared with fitness functions, the positions of the sparrow individuals in the group are updated; and according to the control algorithm provided by the invention, the problem that the algorithm is easy to fall into a local minimum value is solved, the overshoot is small, the response speed is high, and the stability is further correspondingly improved.

Description

technical field [0001] The invention relates to the field of algorithm optimization of a control system, in particular to an optimization control algorithm of a chilled water system. Background technique [0002] The chilled water system is the main component of the HVAC system, and the chilled water system has the characteristics of nonlinearity, time variation, and time delay. When the traditional PID controller is used to control the chilled water system, it will cause problems such as large overshoot and slow response, and cannot play a good control role. Many scholars have applied the group optimization algorithm to the parameter setting of the PID controller, and achieved good results, but the group optimization algorithm has the problem that it is easy to fall into local optimum. Xue Jiankai proposed the Sparrow Search Algorithm (SSA) in 2020. This algorithm has better convergence speed and stability, but like other algorithms, as the number of iterations increases, ...

AI Technical Summary

Problems solved by technology

When the traditional PID controller is used to control the chilled water system, it will cause problems such as large overshoot and slow response, and cannot play a good control role.

Many scholars have applied the group optimization algorithm to the parameter setting of the PID controller, and achieved good results, but the group optimization algorithm has the problem that it is easy to fall into local optimum.

Xue Jiankai proposed the Sparrow Search Algorithm (SSA) in 2020. This algorithm has better convergence speed and stability, but like other algorithms, as the number of iterations increases, the Sparrow Search Algorithm also tends to fall into local problems. optimal question

[0003] Therefore, how to provide a kind of optimal control algorithm of the chilled water system that can solve the problem that the algorithm is easy to fall into a local minimum is a technical problem to be solved urgently by those skilled in the art

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