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Energies 2016, 9(11), 961; doi:10.3390/en9110961

An Adaptive Speed Control Approach for DC Shunt Motors

1
Departamento de Ingeniería Eléctrica, Universidad Nacional Autónoma de México, Av. Universidad 3000, Cd. Universitaria, Delegación Coyoacán, C.P. 04510 Mexico City, Mexico
2
Departamento de Energía, Universidad Autónoma Metropolitana, Unidad Azcapotzalco, Av. San Pablo No. 180, Col. Reynosa Tamaulipas, C.P. 02200 Mexico City, Mexico
3
Departamento de Ingeniería, Universidad Politécnica de Tulancingo, Ingenierías No. 100. Col. Huapalcalco, C.P. 43629 Tulancingo, Mexico
4
Facultad de Ingeniería, Universidad Panamericana (Campus Guadalajara), Prolongación Calzada Circunvalación Poniente 49, C.P. 45010 Zapopan, Mexico
*
Author to whom correspondence should be addressed.
Academic Editor: Chunhua Liu
Received: 2 July 2016 / Revised: 18 October 2016 / Accepted: 8 November 2016 / Published: 17 November 2016
View Full-Text   |   Download PDF [1257 KB, uploaded 17 November 2016]   |  

Abstract

A B-spline neural networks-based adaptive control technique for angular speed reference trajectory tracking tasks with highly efficient performance for direct current shunt motors is proposed. A methodology for adaptive control and its proper training procedure are introduced. This algorithm sets the control signal without using a detailed mathematical model nor exact values of the parameters of the nonlinear dynamic system. The proposed robust adaptive tracking control scheme only requires measurements of the velocity output signal. Thus, real-time measurements or estimations of acceleration, current and disturbance signals are avoided. Experimental results confirm the efficient and robust performance of the proposed control approach for highly demanding motor operation conditions exposed to variable-speed reference trajectories and completely unknown load torque. Hence, laboratory experimental tests on a direct current shunt motor prove the viability of the proposed adaptive output feedback trajectory tracking control approach. View Full-Text
Keywords: DC shunt motors; adaptive speed control; model-free control; neural networks DC shunt motors; adaptive speed control; model-free control; neural networks
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MDPI and ACS Style

Tapia-Olvera, R.; Beltran-Carbajal, F.; Aguilar-Mejia, O.; Valderrabano-Gonzalez, A. An Adaptive Speed Control Approach for DC Shunt Motors. Energies 2016, 9, 961.

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