Optimal Control of DC Motor Using Multiverse Optimization Algorithm

Parmod kumar, Er Arshdeep Singh
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引用次数: 0

Abstract

Regulating the PID controller's parameters is a significant challenge in DC motor control operation. Multiverse Optimization Algorithm (MVO), a new metaheuristic algorithm, is used to overcome this challenge and is designed for driving a DC motor to find the best possible solution globally in the search space. The suggested controller can be used to adjust the PID controller's parameters to their optimum value. The outcomes of the simulation demonstrate that the suggested controller is capable of efficiently looking for the best PID controller. According to the simulation results, the development of the speed loop response stability has improved, the steady state error has decreased, the rising time has been perfected, and disturbances have no effect on the driving motor's performance with no overtaking. . Keywords— Multiverse Optimization Algorithm, DC motor, PID controller, Parameter Optimization.
使用多元优化算法优化直流电机控制
调节 PID 控制器的参数是直流电机控制操作中的一项重大挑战。多元宇宙优化算法(MVO)是一种新的元启发式算法,用于克服这一难题,其设计用于驱动直流电机,在搜索空间中找到全局最佳解决方案。建议的控制器可用于将 PID 控制器的参数调整到最佳值。仿真结果表明,建议的控制器能够有效地寻找最佳 PID 控制器。根据仿真结果,速度环响应稳定性得到改善,稳态误差减小,上升时间得到完善,并且干扰对驱动电机的性能没有影响,没有超车现象。.关键词- 多重宇宙优化算法 直流电机 PID 控制器 参数优化
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