Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

Abstract

Induction motor with indirect field oriented control is preferred for high performance applications due to its excellent dynamic behavior. However, it is sensitive to variations in rotor time constant, especially variation in rotor resistance which needs to be estimated online. Conventionally the model reference adaptive system with fuzzy logic controllers as adaptation is used, which works satisfactorily for one particular operating condition and fails under variable operating condition. Therefore the need arises for a fuzzy controller whose parameters are tuned using evolutionary algorithm. In this paper, the input/output gain and the membership function parameters of the fuzzy system are optimized using genetic algorithm and particle swarm optimization to obtain an optimal designed fuzzy controller for rotor resistance estimation. The system is investigated in MATLAB/Simulink environment. Results shows that the steady state error in estimation of rotor resistance by the proposed controller under stringent operating condition is better with the proposed controller as compared to the conventional trial and error based fuzzy controller.

Novel Approaches in Sensorless Induction Motor Drive for Industrial Applications

“…Sensorless speed estimation of three-phase induction motor based on MRAS and Fuzzy logic controller [8, 39, and 41] is presented which tracks the actual motor speed with very small error. A solution based on the theory of the fuzzy logic is developed in [48,49] to eliminate the problem related with variation of the rotor resistance which causes an error in the Estimation of the rotor speed. This method permits the estimation of rotor resistance and re injects it in the control loop in order to assure the decoupling between the torque and flux transients.…”

Game-theoretic model of inspection by anti-corruption group

“…This is the standard method of modelling electromagnetic systems, including electromechanical and computer components, power units, grids, antennas, etc. [1][2][3][4][5][6]. Such framework also allows to set and research the problems of control, stability and reliability [7][8][9][10].…”