JOURNAL ARTICLE

Observer-based automatic control loop tuning for servo motor drives

Abstract

Accurate servo drive tuning requires motor electrical and mechanical parameters such as torque constant, moment of inertia, and frictional torque coefficient. In this paper, an observer-based auto-tuning scheme for servo motor drives is presented. The main element in this scheme is a state estimator which generates a motor parameter-related disturbance torque. Following the disturbance estimator, two adaptive controllers are used to adjust the drive inertia and frictional torque to their correct values. The servo control loops are tuned automatically with the parameters identified. Motor torque constant is also identified and used in the disturbance estimator. The experimental results verified that the proposed scheme can accurately identify motor parameters and tune the servo control loops.

Keywords:
Control theory (sociology) Torque motor Torque Servo drive Estimator Direct torque control Inertia Servomotor Moment of inertia Computer science Servomechanism Servo Servo control Control engineering Engineering Induction motor Mathematics Physics Control (management) Artificial intelligence

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11
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0.62
FWCI (Field Weighted Citation Impact)
12
Refs
0.73
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Citation History

Topics

Sensorless Control of Electric Motors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Control Systems in Engineering
Physical Sciences →  Engineering →  Mechanical Engineering

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