Abstract

Electric machines are essential systems in electric vehicles and are widely used in other applications. In particular, permanent magnet direct current (PMDC) motors have been extensively employed in industrial applications such as electric vehicles and battery-powered devices such as wheelchairs, power tools, guided vehicles, welding equipment, X-ray and tomographic systems, and computer numerical control (CNC) machines. PMDC motors are physically smaller and lighter for a given power rating than induction motors. The unique features of PMDC motors, including their high torque production at lower speed and flexibility in design, make them preferred choices in automotive transmissions, gear systems, lower-power traction utility, and other fields [12, 18, 22, 47, 54]. For efficient torque/speed control, thermal management, motor-condition monitoring, and fault diagnosis of PMDC motors, it is essential that their characteristics be captured in real-time operations. This is a system identification problem that can be carried out by using standard identification methods [35, 48].

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