Application of Improved Artificial Bee Colony Algorithm in constant pressure water supply system

Abstract

Due to the hysteresis and non-linearity of constant pressure water supply control system, it is difficult to realize accurate control of water supply pressure. To address this problem, an IABC-PID control algorithm based on improved artificial bee colony algorithm is proposed in this paper. To address the shortcomings of the basic artificial bee colony algorithm, which converges slowly and is prone to local optimality, a full dimensional learning strategy is introduced in the neighborhood search of the employed foragers. At the same time, Gaussian variation and chaotic perturbations are introduced to enhance the local search capability and increase the population diversity, thus speeding up the convergence speed and improving the search accuracy. The simulation results show that the IABC- PID control algorithm outperforms the ABC-PID method in terms of convergence speed, search accuracy and operational stability. Compared with the response curve method, the IABC-PID algorithm has no overshoot, small adjustment time, better dynamic performance, steady-state performance and robustness. The algorithm provides a theoretical basis for real-time online PID parameter rectification of constant pressure water supply system and provides an effective means for energy saving and consumption reduction of pumps.