Optimal Control of Chilled Water System Based on Improved Sparrow Search Algorithm

Chilled water systems have large time delays and inertia, the traditional PID controller has a poor control effect. In this paper, an improved sparrow search algorithm is proposed to optimize of chilled systems. Firstly, random walk strategy was used randomly perturb sparrows improve searching ability sparrows. Then, Gauss mutation added in iteration process enhance local ability. Finally, values parameters as obtained by above methods were substituted into for simulation. The simulation results show that method paper improves accuracy effectively solves problems inertia system. took least amount system reach steady state at only 12.75 s. effect also better than ant colony optimization algorithm. rise 2.713 s, adjustment 4.95