Parameter Identification for Systems under Disturbance

Since system deterioration will cause severe accidents, performance degradation and/or large energy loss, control system should be maintained periodically. If such maintenance can be replaced by parameter identification based on input-output data obtained through normal control operations, the cost and the time required for maintenance is reduced. In normal control operations, input-output data are affected by disturbance and thus the existing parameter identification methods yield identification errors. This paper proposes a method to identify the parameters for systems with disturbance. The method assumes that two sensor outputs are available and employs a parameter dependent filter to annihilate the effect of disturbance.