Comparative Analysis Between Conventional and Neuro-Fuzzy Control Schemes for Speed Control of Induction Motor Drive
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Controlling speed of induction motor is very difficult during light load conditions because it has very poor power factor and high input surge current. As also, it is a constant speed motor. Conventional controllers have poor control performance and are unable to have smooth control of the speed for nonlinear loads. The intention of the proposed scheme is to design neuro-fuzzy control scheme for controlling the speed of highly nonlinear loads like induction motor to overcome the lacunas of conventional controllers. This project uses a combination of neural network and fuzzy logic controllers so that it has the advantages of both. Back propagation algorithm is used to remove the neuro-fuzzy trial and error complexity. To design and study the performance, MATLAB software is used.
KeywordsArtificial intelligence Neuro-fuzzy controller MATLAB software PI controller Back propagation (BP) Real-time implementation Self-tuning
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