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作 者:Murali Dasari A.Srinivasula Reddy M.Vijaya Kumar
机构地区:[1]Electrical Engineering,Jawaharlal Nehru Technological University Anantapuramu,Ananthapur,India [2]CMR Engineering College,Secunderabad,India,and [3]Electrical and Electronics Engineering,Jawaharlal Nehru Technological University Anantapuramu,Ananthapur,India
出 处:《International Journal of Intelligent Computing and Cybernetics》2021年第4期664-685,共22页智能计算与控制论国际期刊(英文)
摘 要:Purpose-The principal intention behind the activity is to regulate the speed,current and commutation of the brushless DC(BLDC)motor.Thereby,the authors can control the torque.Design/methodology/approach-In order to regulate the current and speed of the motor,the Multiresolution PID(MRPID)controller is proposed.The altered Landsman converter is utilized in this proposed suppression circuit,and the obligation cycle is acclimated to acquire the ideal DC-bus voltage dependent on the speed of the BLDC motor.The adaptive neuro-fuzzy inference system-elephant herding optimization(ANFISEHO)calculation mirrors the conduct of the procreant framework in families.Findings-Brushless DC motor’s dynamic properties are created,noticed and examined by MATLAB/Simulink model.The performance will be compared with existing genetic algorithms.Originality/value-The presented approach and performance will be compared with existing genetic algorithms and optimization of different structure of BLDC motor.
关 键 词:Brushless DC(BLDC)motors Elephant herding optimization(EHO) Adaptive neuro-fuzzy inference system(ANFIS) Landsman converter
分 类 号:TP1[自动化与计算机技术—控制理论与控制工程]
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