Читать книгу Control of DC Motor Using Different Control Strategies - Dr. Hidaia Mahmood Alassouli - Страница 3

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