In spite of improvement of the AC drive systems still the DC drives are widely used in industry. One of the problems associated with control of DC motor which might cause unsuccessful attempts for designing a proper controller would be the time-varying nature of DC moto More
In spite of improvement of the AC drive systems still the DC drives are widely used in industry. One of the problems associated with control of DC motor which might cause unsuccessful attempts for designing a proper controller would be the time-varying nature of DC motors parameters and variables which might be changed while working with the motion systems. In these conditions, the control system will not response properly. One of the best suggested solutions to overcome this problem would be the use of sliding mode control (SMC). SMC is not sensitive to parameters changes and yet would have a fair response to the systems variations. However, SMC suffers from some deficiencies including inflexibility in controller parameters. A Better response can be achieved by SMC in compare with classical methods but it is not the most optimized response. The fair solution can be defined through faster fulfillment of target, less overshoot and more consistency of the system against the changes of the parameters. In this paper, a new fuzzy based method is presented to increase the SMC ability to reach a more convenient solution. Optimized response can be achieved in terms of shorter settling time, less overshoot, and more stability.
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