Performance and Analysis of Optimization Techniques for Speed Control of Dc Motor

Authors

Santosh Kumar Suman Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India.
Vinod Kumar Giri Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India.

DC motor, PID, Genetic Algorithm, propose objective function, MSE, IAE.

Aim of This paper a Performance Analysis of controllers such as PID controller and G.A based PID for speed

control of DC motor. Simulation results have established that the use of PID and GA-PID. A DC motor is important for a

good dynamic, reliable behaviour of the DC motor, a great speed tracking with lowest overshoot, gives better performance

and high strength than those obtained by use of the other controller. The DC motor is broadly used in many applications like

steel mills, electric trains, cranes and much more. In this dissertation a separately excited dc motor using MATLAB

modelling has been outlined whose velocity might be examined utilizing the Proportional, Integral, Derivative (KP, KI ,

KD) addition of the PID controller. In this paper is to analyse the execution of Optimization techniques viz. The Genetic

Algorithm (GA) for improve PID controllers parameters for speed control of DC motor and list their points of interest over

the traditional tuning strategies. The output speed error and its derivative as feedback damping signals. In this we have

create three objective function with help of the MATLAB coding m-file, but third objective function is a novel creation for

system which gives the better result than conventional objective function.aim of this paper compared all conventional

method to proposed genetic algorithm tuning techniques and finds optimum results such as peak time, overshoot and

transient response.

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