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

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

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 proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the IASTED International Conference on Intelligent Systems and Control
Editors	M.H. Hamza
Pages	82-87
Number of pages	6
State	Published - 2004
Externally published	Yes
Event	Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control - Honolulu, HI, United States Duration: Aug 23 2004 → Aug 25 2004

Other

Other	Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control
Country/Territory	United States
City	Honolulu, HI
Period	8/23/04 → 8/25/04

Keywords

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

ASJC Scopus subject areas

Engineering(all)

Cite this

Garcia, J, Arnold, MG, Bleris, L & Kothare, MV 2004, A low-power application-specific instruction processor for model predictive control applications. in MH Hamza (ed.), Proceedings of the IASTED International Conference on Intelligent Systems and Control. pp. 82-87, Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control, Honolulu, HI, United States, 8/23/04.

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AB - 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.

KW - Embedded Controller

KW - Model Predictive Control

KW - Systems-on-a-Chip

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M3 - Conference contribution

AN - SCOPUS:10444275129

SP - 82

EP - 87

BT - Proceedings of the IASTED International Conference on Intelligent Systems and Control

A2 - Hamza, M.H.

T2 - Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control

Y2 - 23 August 2004 through 25 August 2004

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

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