Microprocessor-Based Adaptive Speed and Position Control for Electrical Drives

Microprocessor-based adaptive speed and position control of an electrical drive with variable load parameters is investigated. The on-line identification is carried out with the help of the recursive least squares algorithm, and a pole-assignment procedure provides a direct way of updating the parameters of the controllers. Time-optimal and quasi-time-optimal adaptive position control is presented. The proposed control scheme was implemented on a microprocessor system and was applied to control a 40-kW converter-fed dc drive. Experimental results are presented.