Majlesi Journal of Electrical Engineering Adaptive Neuro-Fuzzy Controller Experimental Design for DC Motor Connected to Unbalanced Load Volume 1 (2007) Issue 2, September 2007 2024 02 28 Adaptive Neuro-Fuzzy Controller Experimental Design for DC Motor Connected to Unbalanced Load 10.1234/mjee.v1i2.20 EN Journal Article 2024 02 28 In two recent decades, fuzzy controllers have been used in controlling different systems successfully. In this article, a new method is given for controlling of permanent magnetic DC motor connected to unbalanced load. Imbalance of load leads to machine vibrations, fluctuation of power, making exhaustion in machine shaft, and equipment depreciation. In this article neuro-fuzzy controllers are used for controlling unbalanced load. Because of non-linear nature of load and machine, machine fluctuations are different in various speeds. For making controller adaptive with machine, using an artificial neural network, the input-output coefficients are be updated in any speed. Optimized coefficients obtained by using of direct search method, and with these coefficients, artificial neural network trained with Lauvenberg-Marcoardet method. Operational results obtained from developed system, shows the efficiency of given method.