Modified Whale Optimisation Technique for Combined Objective of Torque Ripple Minimization & Speed Control of SRM Drive

Nutan Saha, S. Panda, D. Sahoo
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引用次数: 2

Abstract

In this work metaheuristic technique such as modified Hybrid Whale Optimization Algorithm (mWOA) is used for control of speed along with ripple reduction in output torque of 75 KW, 4-phase 8/6 Switched Reluctance Motor (SRM) drive. The objective is to develop a controller for combined goal of speed control and ripple reduction in output torque of SRM. Various performance factors such as gain of proportional controller & integral controller of speed controller as well as of current controller commutation angle values are considered for performance assessment of SRM. A comparison is made of the performance of SRM with implementation of modified Whale Optimization Algorithm (mWOA) & Whale Optimization Algorithm (WOA). It is seen that coefficient of torque ripple, ISE of current and objective function is reduced by mWOA algorithm as compared to WOA.
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SRM传动转矩脉动最小化与速度控制相结合的改进鲸鱼优化技术
在这项工作中,元启发式技术,如改进的混合鲸鱼优化算法(mWOA),用于控制速度,并减少75千瓦,4相8/6开关磁阻电机(SRM)驱动器的输出转矩纹波。目的是开发一种既能控制转速又能减小输出转矩纹波的控制器。考虑了比例控制器增益、速度控制器积分控制器增益、电流控制器换相角值等多种性能因素对SRM进行性能评价。比较了改进的鲸鱼优化算法(mWOA)和鲸鱼优化算法(WOA)实现的SRM性能。可以看出,与WOA相比,mWOA算法降低了转矩脉动系数、电流ISE和目标函数。
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