Design and implementation of a predictive digital position control system for a DC Motor subject to non-linear loads

Authors

  • Raúl Benites Saravia Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería, Lima - Perú

DOI:

https://doi.org/10.21754/tecnia.v11i2.523

Abstract

This work presents the behavior of Model-Based Predictive Control (MBPC), aimed at controlling a SISO process. The process is a non-linear system, to which after linearizing and discretizing, predictive control techniques are applied. The nonlinear process (plant) consists of a DC servomotor with reduction, a power stage and a rod coupled to the motor rotor. Use is made of a LAB-PC+ interface card (implemented in a Pentium microcomputer) and an auxiliary interface. The software used for the simulation is MATLAB and the one used for the implementation of the position control algorithm is the C language. The results presented are in real time. For reasons of space Simulations have not been presented in this article.

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References

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Published

2001-12-01

How to Cite

[1]
R. Benites Saravia, “Design and implementation of a predictive digital position control system for a DC Motor subject to non-linear loads”, TEC, vol. 11, no. 2, Dec. 2001.

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Section

Articles