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Position control of DC motors with experience mapping based prediction controller

Saikumar, Niranjan and Dinesh, NS (2012) Position control of DC motors with experience mapping based prediction controller. In: 38th Annual Conference on IEEE Industrial Electronics Society IECON 2012, 25-28 Oct. 2012, Montreal, QC, pp. 2394-2399.

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Official URL: http://dx.doi.org/10.1109/IECON.2012.6388869


The paper presents a new controller inspired by the human experience based, voluntary body action control (dubbed motor control) learning mechanism. The controller is called Experience Mapping based Prediction Controller (EMPC). EMPC is designed with auto-learning features without the need for the plant model. The core of the controller is formed around the motor action prediction-control mechanism of humans based on past experiential learning with the ability to adapt to environmental changes intelligently. EMPC is utilized for high precision position control of DC motors. The simulation results are presented to show that accurate position control is achieved using EMPC for step and dynamic demands. The performance of EMPC is compared with conventional PD controller and MRAC based position controller under different system conditions. Position Control using EMPC is practically implemented and the results are presented.

Item Type: Conference Paper
Series.: IEEE Industrial Electronics Society
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Experience Mapping Based Prediction Controller (EMPC); DC Motors; Position Control
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 18 Jun 2013 11:39
Last Modified: 18 Jun 2013 11:39
URI: http://eprints.iisc.ac.in/id/eprint/46740

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