Parameter Identification of Systems under Disturbance from Input-Output Data

Abstract

Recently, efficiency of energy conservation has been attracting much attention year by year. Hence, effective methods to evaluate energetic efficiency of existing control systems are required more than ever. To ease the evaluation of the energy efficiency, parameter identification of control systems in operation should be useful. However, the parameter identification may not succeed straightforwardly due to not only measurement noise but also disturbance. Disturbance can not be avoided and disturbance attenuation is often the major aim of feedback control where the existence of disturbance is essential. This paper thus proposes a method of parameter identification that uses multiple output signals and then extracts components orthogonal to the signal caused by disturbance. The effectiveness of the proposed method is examined by using a numerical example.