A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications
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School of Science, Engineering and Design, Teesside University, Middlesbrough, TS1 3BA, UK
2
School of Health and Social Care, Teesside University, Middlesbrough, TS1 3BA, UK
*
Author to whom correspondence should be addressed.
Electronics 2017, 6(4), 88; https://doi.org/10.3390/electronics6040088
Received: 15 September 2017
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Revised: 10 October 2017
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Accepted: 15 October 2017
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Published: 21 October 2017
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.
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MDPI and ACS Style
Short, M.; Abugchem, F. A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications. Electronics 2017, 6, 88. https://doi.org/10.3390/electronics6040088
AMA Style
Short M, Abugchem F. A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications. Electronics. 2017; 6(4):88. https://doi.org/10.3390/electronics6040088
Chicago/Turabian StyleShort, Michael, and Fathi Abugchem. 2017. "A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications" Electronics 6, no. 4: 88. https://doi.org/10.3390/electronics6040088
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