ADAPTIVE-ROBUST CONTROL DESIGN METHODS

Abstract

This paper presents a design procedure for control systems implemented on dynamic variable and nonlinear processes. The proposed adaptive-robust control strategy is taking into account both adaptive control advantages and robust control benefits and is using the same integral criterion for the identification of the process and for the control algorithm design. An optimality integral criterion and an appropriate measure for degradation of the system performances due to variation of the dynamic model are introduced. This inteogral criterion is expressed in a direct form, through a cost function, defined in the model and the controller parameters’ space. For the minimization of this nonlinear function, a numerical mathematic nonlinear programming method is used. The theoretical approach presented in this paper is validated on a close loop control system, the application being developed in Visual C#5

Keywords

• control systems
• adaptive control
• robust control
• system optimization