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)