Research on BLDCM Speed Control System Based on MFNN-PID Control Method

Abstract:

It is very difficult to solve brushless DC motor(BLDCM) overshooting and short time oscillation during keeping speed of BLDCM.In view of shortages of normal PID controller, Modified Fuzzy Neural Network adjusting PID parameters and its Algorithm are researched.The MFNN’s computation and convergence rates are better than FNN adjusting PID parameters.At last,mathematical expression of MFNN adjusting PID parameters is given.With Matlab sumulation,conclusion is the MFNN adjusting PID parameters is better in BLDCM speed control system robustness and real-time to solve interference of the system than PID controller and FNN adjusting PID parameters.It is fleasible to take the MFNN adjusting PID parameters in BLDCM speed control system.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 3714-3718
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.3714
• Online since: October 2011
• Authors: Xin Wang
• Keywords: Brushless Direct Current Motor (BLDCM), MFNN, Parameter Optimization, PID, Simulate

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