Online Tuning Rule Based Adaptive Speed Control Algorithm for DC Motors Using Recursive Least Squares with Forgetting

摘要

This paper presents an online tuning rule-based adaptive control algorithm to control DC motor speed. For this, a method of recursive least squares with forgetting was proposed to approximate the relation between single input (voltage) and single output (angular speed) of the DC motor system as a first order differential equation. Using this approximated first order system and Lyapunov method-based disturbance observer with an online turning rule, a voltage input of the DC motor was generated to track a desired value of rotational speed of the motor. A performance evaluation of the proposed algorithm was conducted in the MATLAB/Simulink environment. The results show that the designed algorithm enables to track a reference speed successfully using only a single input and a single output of the DC motor system.