Optimal Control Algorithm of Chilled Water System

Abstract

The invention relates to an optimal control algorithm for a chilled water system, which adopts a PID controller to control the chilled water system, and adopts an improved sparrow search algorithm to obtain three parameters K of the PID controller. p , K i and K d The method for improving the sparrow search algorithm at least includes: using a random walk strategy to improve the sparrow search algorithm, and using Gaussian mutation to improve the sparrow search algorithm. The invention uses the random walk strategy to randomly perturb the sparrow group, enhances the search ability of the sparrow group, and reduces the limit value of the decision variable with the increase of the number of iterations; in addition, Gaussian mutation is added to conduct sufficient search, compare the fitness function, and update the position of the sparrow individual in the group. The control algorithm proposed by the invention solves the problem that the algorithm is easy to fall into the local minimum value, and has small overshoot, fast response speed and corresponding improvement in stability.

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] Chilled water system is the main component of HVAC system. Chilled water system has the characteristics of nonlinear, time-varying, time-delay and so on. When using the traditional PID controller to control the chilled water system, it will cause problems such as large overshoot and slow response, which cannot play a good control role. Many scholars have applied the swarm optimization algorithm to the parameter tuning of the PID controller, and achieved good results, but the swarm optimization algorithm has the problem that it is easy to fall into the local optimum. Xue Jiankai proposed the Sparrow Search Algortihm (SSA) in 2020. This algorithm has good convergence speed and stability, but like other algorithms, as the number of iterations increases, the Sparrow Se...

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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