Nonlinear Model Predictive Control Experiments on a Laboratory Gas Turbine Installation
| Autor: | H. C. de Lange, H.A. van Essen |
|---|---|
| Přispěvatelé: | Energy Technology, Dynamics and Control |
| Rok vydání: | 2001 |
| Předmět: |
Imagination
Engineering Computer science business.industry media_common.quotation_subject Mechanical Engineering Computation Simulation modeling Process (computing) Energy Engineering and Power Technology Aerospace Engineering Control engineering Model predictive control Nonlinear system Fuel Technology Nuclear Energy and Engineering Anticipation (artificial intelligence) Control theory Filter (video) Turbomachinery business Gas compressor media_common |
| Zdroj: | Journal of Engineering for Gas Turbines and Power : Transactions of the ASME, 123(2), 347-352. American Society of Mechanical Engineers |
| ISSN: | 1528-8919 0742-4795 |
| DOI: | 10.1115/1.1359478 |
| Popis: | Results on the feasibility and benefits of model based predictive control applied to a gas turbine are presented. For a laboratory gas turbine installation, the required dynamic simulation model and the real-time (nonlinear) Model Predictive Control (MPC) implementation are discussed. Results on both model validation and control performance are presented. We applied a nonlinear MPC configuration to control the laboratory gas turbine installation and succeeded in a real-time implementation. Although the available computation time for prediction and optimization of the model limits the sample time, the advantages of MPC, i.e. constraint handling, and anticipation to future (set-point) changes are fully reached, and the control performance is good. Special attention is paid to the performance of the applied filter that compensates for inevitable mismatches between model and process measurements. In general, the opportunities of model based control of turbomachinery are promising.Copyright © 2000 by ASME |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|