A Comparison Between MPC and Optimal PID Controllers: Case Studies
This paper presents a comparative study between the performance of Model Predictive Control (MPC) and optimal PID controllers in terms of various performance measures. Parameters of the PID controller are adjusted based on Bacterial Foraging Optimization (BFO) algorithm and its results are compared...
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Published in | Michael Faraday IET International Summit 2015 p. 11 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
Stevenage, UK
IET
2015
The Institution of Engineering & Technology |
Subjects | |
Online Access | Get full text |
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Summary: | This paper presents a comparative study between the performance of Model Predictive Control (MPC) and optimal PID controllers in terms of various performance measures. Parameters of the PID controller are adjusted based on Bacterial Foraging Optimization (BFO) algorithm and its results are compared with those obtained using MPC controller in terms of some control parameters. These control parameters are rise time, settling time, peak overshoot percentage, integral of absolute errors and integral of time multiplied absolute of error for both MPC and PID controllers. Many case studies are considered in this article. First, second, third, fourth and fifth order systems are investigated. Simulation results indicate that MPC controller outperforms optimal PID controller in all cases. |
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Bibliography: | ObjectType-Conference Proceeding-1 SourceType-Conference Papers & Proceedings-1 content type line 21 |
ISBN: | 9781785611865 1785611860 |
DOI: | 10.1049/cp.2015.1607 |