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DC Motor Speed Control using Experience Mapping Based Prediction Controller (EMPC)

Raghu, C and Dinesh, NS (2017) DC Motor Speed Control using Experience Mapping Based Prediction Controller (EMPC). In: 3rd IEEE International Conference on Control, Automation and Robotics (ICCAR), APR 22-24, 2017, Nagoya, JAPAN, pp. 533-538.

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Official URL: http://dx.doi.org/10.1109/ICCAR.2017.7942754

Abstract

Experience Mapping based Prediction Controller (EMPC)is a recently proposed controller for DC motor based position control, whose design is inspired from human motor control. As it is developed for a Type-l system, the algorithms developed there, cannot be directly used for Type-0 systems. This paper presents the modified EMPC for Type-0 systems and the principle is applied to a DC motor speed control system. EMPC uses past experience for generating the control action in each scenario and it works in quasi-open-Ioop unlike conventional control systems which work in tight close loop. The paper presents the details of development of EMPC algorithm and simulations to show its performance on a DC motor based speed controller. The performance of EMPC is compared with that of a conventional PID controller for different scenarios. The speed control of DC motor using EMPC is practically implemented and the experimental results are presented.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 22 Jul 2017 07:07
Last Modified: 05 Mar 2019 11:08
URI: http://eprints.iisc.ac.in/id/eprint/57481

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