Setting Up Adaptive Neuro Fuzzy Based Speed Control of DC Motor using Wavelet Transform Comparison with PID- Partical Swarm Optimisation Strategy

Provided by: The International Journal of Research in Engineering Technology and Management (IJRETM)
Topic: Hardware
Format: PDF
In this paper, the authors present an application of wavelet transform comparison with PID PSO and neuro fuzzy control for DC motor speed optimized with swarm collective intelligence. First, the controller is designed according to fuzzy rules such that the systems are fundamentally robust. Secondly, an adaptive neuro-fuzzy controller of the DC motor speed is then designed and simulated; the ANFIS has the advantage of expert knowledge of the Fuzzy inference system and the learning capability of neural networks. Finally, the ANFIS is optimized by Swarm Intelligence.

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