Abstract
A minimum error entropy controller is developed for superheated vapour temperature control of a waste heat recovery process using Organic Rankine cycles (ORC). A nonlinear dynamic model is briefed for the ORC evaporator to capture the key dynamic characteristics of the process. Considering non-Gaussian disturbance terms, the control objective is proposed to minimize the combined entropy function and the mean value of the squared tracking errors. The controller is designed by taking into account of bounded constraints on input actions. The improved performances of the proposed method in reducing control variation and decreasing tracking error uncertainty are discussed by a comparison with standard PID control through simulation study conducted on an ORC waste heat recovery process.
Original language | English |
---|---|
Title of host publication | 2016 12th World Congress on Intelligent Control and Automation (WCICA) |
Publisher | IEEE |
Pages | 1992-1998 |
Number of pages | 7 |
ISBN (Print) | 978-1-4673-8414-8 |
DOIs | |
Publication status | Published - 1 Jun 2016 |
Event | The 12th World Congress on Intelligent Control and Automation (WCICA 2016) - Guilin, China Duration: 12 Jun 2016 → 15 Jun 2016 |
Conference
Conference | The 12th World Congress on Intelligent Control and Automation (WCICA 2016) |
---|---|
Country | China |
City | Guilin |
Period | 12/06/16 → 15/06/16 |
Keywords
- entropy
- vapour
- waste heat recovery
- organic Rankine cycles