A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications
| Autor: | Fathi Abugchem, Michael Short |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering input constraints Computer Networks and Communications industrial process control lcsh:TK7800-8360 02 engineering and technology 020901 industrial engineering & automation Real-time Control System Control theory 0202 electrical engineering electronic engineering information engineering Process control Overhead (computing) real-time control Quadratic programming Electrical and Electronic Engineering business.industry lcsh:Electronics 020208 electrical & electronic engineering Process (computing) Control engineering Microcontroller Model predictive control Hardware and Architecture Control and Systems Engineering Signal Processing Trajectory business |
| Zdroj: | Electronics; Volume 6; Issue 4; Pages: 88 Electronics, Vol 6, Iss 4, p 88 (2017) |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics6040088 |
| Popis: | Model predictive control (MPC) schemes employ dynamic models of a process within a receding horizon framework to optimize the behavior of a process. Although MPC has many benefits, a significant drawback is the large computational burden, especially in adaptive and constrained situations. In this paper, a computationally efficient self-tuning/adaptive MPC scheme for a simple industrial process plant with rate and amplitude constraints on the plant input is developed. The scheme has been optimized for real-time implementation on small, low-cost embedded processors. It employs a short (2-step) control horizon with an adjustable prediction horizon, automatically tunes the move suppression (regularization) parameter to achieve well-conditioned control, and presents a new technique for generating the reference trajectory that is robust to changes in the process time delay and in the presence of any inverse response. In addition, the need for a full quadratic programming procedure to handle input constraints is avoided by employing a quasi-analytical solution that optimally fathoms the constraints. Preliminary hardware-in-the-loop (HIL) test results indicate that the resulting scheme performs well and has low implementation overhead. |
| Databáze: | OpenAIRE |
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