Development of hybrid soft computing techniques for speed control and stability analysis of bldc motor

Abstract

Brushless Direct Current (BLDC) motor are the ones in which the permanent magnet delivers the required air gap flux replacing the wire-wound field poles. BLDC motors have their applications in wide range of industrial sectors due to its structure and suitability in handling any critical situations. Speed regulation is one of the significant characteristics to be adopted in the field of brushless DC motor drive for effective and accurate speed and position control operations.In this research thesis, stability analysis and performance characteristics of brushless direct current motor is studied and implemented with the novel hybrid soft computing techniques. The applicability of hybrid form of neural network architectures, fuzzy systems and optimization technique shall enhance the control action to a better rate and this may permit the motor drive mechanism to operate efficiently. Considering the factors, this thesis has modeled novel techniques that are effective and plausible and the summary of findings with major contributions is presented here. newline