Journal Article

·2019

Two-degree-of-freedom compensator design for disturbance attenuation problem via higher order sinusoidal input describing functions theory

Bilal Erol YTU , Muhammed Ali Nur Öz YTU , Levent Ucun YTU

Transactions of the Institute of Measurement and Control

Abstract

In order to deal with disturbance attenuation problem in the presence of norm bounded uncertainties, different techniques involving [Formula: see text]/[Formula: see text] and linear quadratic regulator (LQR) designs exist in literature. The major drawbacks of these approaches may be classified as obtaining controllers with high order terms and too much computational load during the controller design. Hence, two-degree-of freedeom (2-DOF) controller design is taken into consideration in this study in order to avoid some of these drawbacks in the controller design and implementation process for disturbance attenuation problem. Here, the procedure for the design of 2-DOF structure is divided into two parts: designing [Formula: see text] controller to stabilize the closed loop system and implementing a higher order sinusoidal input describing functions (HOSIDF)-based compensator as a secondary controller in order to increase the disturbance attenuation performance of the overall closed loop system where the norm bounded uncertainties already exist. Thanks to the Lur’e type system definition that is also used in the design process of HOSIDF compensator, the research also proves that the proposed 2-DOF design structure is suitable to be implemented into the systems involving nonlinearities such as actuator saturation.

Keywords

Control theory (sociology) Attenuation Norm (philosophy) Bounded function Controller (irrigation) Linear-quadratic regulator Mathematics Control engineering Computer science Optimal control Mathematical optimization Engineering Control (management)

Subject Areas

Stability and Control of Uncertain Systems ·Control and Systems Engineering ·Physical Sciences
Adaptive Control of Nonlinear Systems ·Control and Systems Engineering ·Physical Sciences
Advanced Control Systems Design ·Control and Systems Engineering ·Physical Sciences

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