Experimental Design of Adaptive Neuro-Fuzzy Controller of Permanent Magnet DC Motor for Unbalanced Load

In two recent decades, fuzzy controllers have been used in controlling different systems successfully. In this article, a new method is givenfor controlling of Permanent MagneticDC(PMDC) motor connected to unbalanced load. Imbalance of load leads to machine vibrations, fluctuation of power, making exhaustion inmachine's shaft, and equipment's depreciation. In this article neuro-fuzzy controllers are used for controlling unbalanced load. Because of nonlinearnature of load and machine, machine's fluctuations are different in various speeds. For making controller adaptive with machine, using anartificial neural network, the input-output coefficients will be updated in any speed. Optimized coefficients obtained by using of directsearch method, and with these coefficients, artificial neural network will be trained with Lauvenberg-Marcoardet method. Operationalresults obtained from made system, shows the efficiency of given method.

کلیدواژه ها:

Neuro-fuzzy controller ، unbalanced load ، Adaptive control ، Permanent magnet DCmotor