Towards embedded model predictive control for System-on-a-Chip applications

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

Research output: Contribution to journalArticle

Abstract

We propose a framework for embedding model predictive control for Systems-on-a-Chip applications. In order to allow the implementation of such a computationally expensive controller on chip, we propose reducing the precision of the microprocessor to the minimum while maintaining near optimal control performance. Taking advantage of the low precision, a logarithmic number system based microprocessor architecture is used, that allows the design of a reduced size processor, providing further energy and computational cost savings. The design parameters for this high-performance embedded controller are chosen using a combination of finite element method simulations and bit-accurate hardware emulations in a number of parametric tests. We provide the methodology for choosing the design parameters for two particular control problems; the temperature regulation in a wafer cross-section geometry, and the control of temperature in a non-isothermal fluid flow problem in a microdevice. Finally, we provide the microprocessor architecture details and estimates for the performance of the resulting embedded model predictive controller.

Original languageEnglish (US)
Pages (from-to)255-264
Number of pages10
JournalJournal of Process Control
Volume16
Issue number3
DOIs
StatePublished - Mar 2006
Externally publishedYes

Fingerprint

Model predictive control
Model Predictive Control
Microprocessor
Microprocessor chips
Chip
Parameter Design
Controller
Controllers
Numbering systems
Number system
Emulation
Wafer
Computer hardware
Fluid Flow
Computational Cost
Flow of fluids
Control Problem
Logarithmic
Optimal Control
Cross section

Keywords

  • Embedded model predictive control
  • Microchemical systems
  • Reduced precision microprocessors
  • Systems-on-a-Chip

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Towards embedded model predictive control for System-on-a-Chip applications. / Bleris, Leonidas G.; Garcia, Jesus; Kothare, Mayuresh V.; Arnold, Mark G.

In: Journal of Process Control, Vol. 16, No. 3, 03.2006, p. 255-264.

Research output: Contribution to journalArticle

Bleris, Leonidas G. ; Garcia, Jesus ; Kothare, Mayuresh V. ; Arnold, Mark G. / Towards embedded model predictive control for System-on-a-Chip applications. In: Journal of Process Control. 2006 ; Vol. 16, No. 3. pp. 255-264.
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