A New Metaheuristic Optimization Algorithms for Brushless Direct Current Wheel Motor Design Problem

作     者：M.Premkumar R.Sowmya Pradeep Jangir Kottakkaran Sooppy Nisar Mujahed Aldhaifallah 

作者机构：Department of Electrical and Electronics EngineeringGMR Institute of TechnologyRajam532127India Department of Electrical and Electronics EngineeringNational Institute of TechnologyTiruchirappalli620015India Rajasthan Rajya Vidyut Prasaran NigamSikar305001India Department of MathematicsCollege of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia Systems Engineering DepartmentKing Fahd University of Petroleum&MineralsDhahranSaudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第67卷第5期

页      面：2227-2242页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：We extend our thankfulness to GMR Institute of Technology  Rajam  Andhra Pradesh  India  for providing the facility and allowing us to validate the performance of the algorithms at the laboratory 

主　　题：BLDC motor constrained equilibrium optimizer singleobjective optimization 

摘      要：The Equilibrium Optimizer(EO),Grey Wolf Optimizer(GWO),and Whale Optimizer(WO)algorithms are being recently developed for engineering optimization *** this paper,the EO,GWO,and WO algorithms are applied individually for a brushless direct current(BLDC)design optimization *** EO algorithm is inspired by the models utilized to find the system’s dynamic state and equilibrium *** GWO and WO algorithms are inspired by the hunting behavior of the wolf and the whale,*** primary purpose of any optimization technique is to find the optimal configuration by maximizing motor efficiency and/or minimizing the total ***,two objective functions are being used to achieve these *** first refers to a design with high power output and *** second is a constraint imposed by the reality that the motor is built into the wheel of the vehicle and,therefore,a lightweight is *** EO,GWO,and WOA algorithms are then utilized to optimize the BLDC motor’s design variables to minimize the motor’s total mass or maximize the motor efficiency by simultaneously satisfying the six inequality *** simulation is carried out using MATLAB simulation software,and the simulation results prove the dominance of the proposed *** paper also suggests an efficient method from the proposed three methods for the BLDC motor design optimization problem.