A low-power application-specific instruction processor for model predictive control applications

Jesus Garcia, Mark G. Arnold, Leonidas Bleris, Mayuresh V. Kothare

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a low-power microcontroller for embedded real-time model predictive control applications. High speed and low power consumption in the processor are achieved by reducing the precision in the data representation, coupled with using logarithmic number system arithmetic instead of the classical IEEE 754-like floating point. Custom architecture details are presented and with the use of finite element method simulations the overall performance of the controller is provided. In order to compare the performance with that of alternative control approaches a proportional integral controller is also examined. With this work we propose a practical solution to a very complex problem: embedding model predictive control.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference on Intelligent Systems and Control
EditorsM.H. Hamza
Pages82-87
Number of pages6
StatePublished - 2004
Externally publishedYes
EventProceedings of the Sixth IASTED International Conference on Intelligent Systems and Control - Honolulu, HI, United States
Duration: Aug 23 2004Aug 25 2004

Other

OtherProceedings of the Sixth IASTED International Conference on Intelligent Systems and Control
CountryUnited States
CityHonolulu, HI
Period8/23/048/25/04

Keywords

  • Embedded Controller
  • Model Predictive Control
  • Systems-on-a-Chip

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Garcia, J., Arnold, M. G., Bleris, L., & Kothare, M. V. (2004). A low-power application-specific instruction processor for model predictive control applications. In M. H. Hamza (Ed.), Proceedings of the IASTED International Conference on Intelligent Systems and Control (pp. 82-87)