Evolutionary Computation for Optimization Techniques |
Foundation of Computer Science USA |
ECOT - Number 2 |
None 2010 |
Authors: Rateb H. Issa |
634870a1-ae51-442a-b9c1-b6d994333636 |
Rateb H. Issa . Three-Phase Induction Motor Stator Current Optimization. Evolutionary Computation for Optimization Techniques. ECOT, 2 (None 2010), 41-50.
This research presents two mathematical –based optimal control systems for induction motor drives leading to stator current optimization and energy saving. The first is a classical optimal control system, which uses information on torque of the motor to generate the appropriate voltage amplitude that minimizes the induction motor stator current. The second is a genetic algorithm-based optimal control system, which uses information on torque of the motor to generate the appropriate minimum stator current according to fitness function. The constant optimal stator current controller models have been configured and built depending on a set of experimental data using MATLAB computer program, the models were validated by simulation using a typical induction motor drive model implemented with MATLAB/Simulink toolbox.