Application of Recursive Methods for Parameter Estimation in Adaptive Control of DC Motor

Abstract

The adaptive control uses a number of methods which provide a systematic approach for real-time automatic control. The recursive parameter estimation methods in particular are best applicable if simple parameter estimates are optainable using real-time identification algorithms. This is imposed by the fact that model adjustments after submission of new data from monitoring, require generation of adequate (adjusted) control signal within the sample time. The present article investigates an application of those methods for parameter estimation and their influence on the quality of adaptive control process of DC motor.