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This paper presents an optimization controller for three-phase induction motor. In this controller, Multi Objective Particle Swarm Optimization MOPSO is implemented to tackle all the conflicting goals that define the problem. This paper deals with two conflicting objective functions. These conflicting functions are: 1. Maximize the efficiency of the drive system, and 2. Maximize the power factor of...
This paper presents the application of neural network based on PSO for losses and operating cost minimization control in the induction motor drives. In this paper, four strategies for induction motor speed control are proposed. Those four strategies are based on PSO and called maximum efficiency strategy, minimum stator current strategy, maximum power factor strategy, and maximum weighted cost strategy...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, maximum efficiency strategy for induction motor speed control is proposed. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give maximum efficiency for a given value of speed and load torque. The main advantages...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can...
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