Call For Paper Volume:4 Issue:10 Oct'2017 |

Smart Controlling Technique For Rotating Electrical Machine Using Genetic Algorithm With Multi-Objective Function

Publication Date : 01/05/2015



Author(s) :

Haider Ali , Sulochana Wadhwani.


Volume/Issue :
Volume 2
,
Issue 4
(05 - 2015)



Abstract :

The requirement of better control strategy for electric motor drives is speedily increasing in every field like electrical vehicles, traction and all the processing industries. Controller based on artificial intelligence technique could be the best controller for better transient as well as steady state response of the motor. The main objective of this paper is to analyse and implement the Artificial intelligent technique i.e Genetic Algorithm using multi-objective function to tune PID controller parameters and estimate their advantages over conventional tuning techniques. This technique is applied and analysed on a third order plant of a DC servo motor with main focus on developing a speed controller. Objective functions used are ITSE (integral time square error), MSE (mean square error), ISE (integral square error) and Vectored fitness function. Results obtained from GA with multi-objective functions are compared with conventional methods like Ziegler-Nichols method. It was found that GA with multi-objective function outperformed GA with single objective function and traditional tuning practices of Ziegler-Nichols tuning of PID controllers.


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Smart Controlling Technique For Rotating Electrical Machine Using Genetic Algorithm With Multi-Objective Function

April 30, 2015