| contributor author | B. G. Vroemen | |
| contributor author | H. A. van Essen | |
| contributor author | A. A. van Steenhoven | |
| contributor author | J. J. Kok | |
| date accessioned | 2017-05-08T23:59:30Z | |
| date available | 2017-05-08T23:59:30Z | |
| date copyright | October, 1999 | |
| date issued | 1999 | |
| identifier issn | 1528-8919 | |
| identifier other | JETPEZ-26792#629_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/122086 | |
| description abstract | The feasibility of model predictive control (MPC) applied to a laboratory gas turbine installation is investigated. MPC explicitly incorporates (input and output) constraints in its optimizations, which explains the choice for this computationally demanding control strategy. Strong nonlinearities, displayed by the gas turbine installation, cannot always be handled adequately by standard linear MPC. Therefore, we resort to nonlinear methods, based on successive linearization and nonlinear prediction as well as the combination of these. We implement these methods, using a nonlinear model of the installation, and compare them to linear MPC. It is shown that controller performance can be improved, without increasing controller execution-time excessively. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Nonlinear Model Predictive Control of a Laboratory Gas Turbine Installation | |
| type | Journal Paper | |
| journal volume | 121 | |
| journal issue | 4 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.2818518 | |
| journal fristpage | 629 | |
| journal lastpage | 634 | |
| identifier eissn | 0742-4795 | |
| keywords | Gas turbines | |
| keywords | Predictive control AND Control equipment | |
| tree | Journal of Engineering for Gas Turbines and Power:;1999:;volume( 121 ):;issue: 004 | |
| contenttype | Fulltext | |
