Dr. Hidaia Mahmood Alassouli - Control of DC Motor Using Different Control Strategies

By

Dr. Hidaia Mahmood Alassouli

Hidaia_alassouli@hotmail.com

The ultimate goal of this paper is to control the angular speed , in a model of a DC motor driving an inertial load has the angular speed, , as the output and applied voltage, , as the input, by varying the applied voltage using different control strategies for comparison purpose. The comparison is made between the proportional controller, integral controller, proportional and integral controller, phase lag compensator, derivative controller, lead integral compensator, lead lag compensator, PID controller and the linear quadratic tracker design based on the optimal control theory. It has been realized that the design based on the linear quadratic tracker will give the best steady state and transient system behavior, mainly because, the other compensator designs are mostly based on trial and error while the linear quadratic tracker design is based on the optimal control theory which can give best dynamic performance for the controlled system.

Keywords:DC motor, lead compensator, lag compensator, PI compensator, optimal control, tracking

The term control system design refers to the process of selecting feedback gains that meet design specifications in a closed-loop control system. Most design methods are iterative, combining parameter selection with analysis, simulation, and insight into the dynamics of the plant. Ref [3] covered how it is possible to improve the system performance, along with various examples of the technique for applying casecade and feedback compensators, using the methodes root locus and frequency response. It also covered some methods of optimal linear system design and presentation of eigenvalues assignments for MIMO system by state feedback. In [2] and [4], good descrbtion of the optimat control design, including llinear state regulator control, the output regulator control and linear quadratic tracker

The matlab SISO Design Tool [1] can be used to design compensators by root locus, Bode diagram, and Nichols plot design techniques, and to analyze the resulting designs. In addition to the SISO Design Tool in Matlab, the Control System Toolbox [2]

provides a set of commands that you can use for a broader range of control applications, including Classical SISO design Modern and MIMO design techniques, such as pole placement and linear quadratic Gaussian (LQG) methods

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