ADAM optimization for adaptive position control of a cart driven by an armature-controlled DC motor supported by the balloon effect

Document Type : Original papers

Authors

1 Department of electrical engineering, Faculty of Energy Engineering, Aswan University

2 Computer Sciences Department, Faculty of Arts and Sciences, Qassim University, Saudi Arabia

3 Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Nishihara 903-0213, Japan

4 Department of electrical engineering, Faculty of Energy Engineering, Aswan University, 81528 Aswan, Egypt

Abstract

This research introduces a new method for controlling the linear positioning of a car powered by a DC motor with armature control, focusing on enhancing the parameters of the controller that is used to control the position of the car. The study employs the ADAM ( Adaptive Moment Estimation ) optimization algorithm and integrates the Balloon effect ( BE ) to improve the traditional ADAM algorithm's response, particularly against external disturbances and changes in system parameters. The proposed method includes an objective function dependent on the altered controller gain values and the determined value of the motor’s open-loop transfer function. The system's performance with the proposed controller is evaluated under various conditions, including step load disturbances and variations in motor parameters. Both simulation and experimental results validate that the adaptive controller, utilizing the modified ADAM algorithm, significantly enhances the system’s performance, particularly in mitigating load disturbances and uncertainties in system parameters.

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Aswan University Journal of Sciences and Technology
Volume 4, Issue 2
June 2024
Pages 120-139

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