Paper Details

Linear Quadratic Regulator (LQR) algorithm is one of the controller methods to control a system. Dc motorspeed is controlled by its driving voltage. The higher the voltage, the higher the motor speed. Liner quadratic regulator(LQR) provides an optimal control law for a linear system. It’s a control strategy based on minimizing a quadraticperformance index. In despite of the good results obtained from this method, the control design is not a straight forwardtask due to the trial and error method involved in the definition of weight matrices. In such cases, may be hard tuning thecontroller parameters in order to obtain the optimal behavior of the system. In this work, it proposes a states feedbacktechnique in which there are no trial and error processes involved and the control design is carried out to fulfillspecifications, for minimize overshoot and minimize settling and rising times. The proposed technique is based on the usea genetic algorithms. The controller is modeled in MATLAB environment, the simulation results show that the proposedcontroller gives better performance and less settling time when compared with the traditional PID controller.

Arun Kumar Singh Tomar, Narottam Dutt Upadhyay, “Optimal Tuning Technique Linear Quadratic Regulator Based Speed Analysis For DC Motor”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 364-368, June 2016.