Fuzzy PID Control of Brushless DC Motor Based on the Improved Bat Algorithm
摘要
This paper focuses on researching the control system of brushless direct current motor (BLDCM), and proposes a control strategy of fuzzy PID, which is based on the improved bat algorithm (IBA). The BA has some disadvantages in the later stage of iteration, including slow convergence, low convergence precision and easy to converge to local minimum. In this paper, the convergence speed is increased by adaptive strategy, the Gaussian mutation is used to improve the population diversity, and the exploration ability is improved by dynamic assignment of frequency. Results of the simulation show that the IBA has favorable performance in the BLDCM control system.