2019
DOI: 10.3390/app9245333
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Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

Abstract: Motivated by the growing technology of control and data processing as well as the increasingly complex designs of the new generation of gas turbine engines, a fully automatic control strategy that is capable of dealing with different aspects of operational and safety considerations is required to be implemented on gas turbine engines. An advanced practical control mode satisfaction method for the entire operating envelope of gas turbine engines is proposed in this paper to achieve the optimal transient perform… Show more

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Cited by 11 publications
(5 citation statements)
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“…[2,[6][7][8] Once the output is consistent with the desired performance and dimensions, the calibration is complete. The turboprop engine is implemented in the form of a requirements-based engine map designed in "Turbomatch" [9].…”
Section: Design and Calibration In Suavementioning
confidence: 99%
“…[2,[6][7][8] Once the output is consistent with the desired performance and dimensions, the calibration is complete. The turboprop engine is implemented in the form of a requirements-based engine map designed in "Turbomatch" [9].…”
Section: Design and Calibration In Suavementioning
confidence: 99%
“…An advanced constraints management strategy for real-time gas turbine transient control was developed based on the MPC approach. In this study, the MPC controller was designed to identify the engine control modes, which was achieved by using Lagrangian multipliers to handle the constraint inequalities and Hildreth's quadratic programming to select the controller weighting values [103]. To improve the engine response performance and reduce the computational complexity, direct thrust control with nonlinear MPC was proposed based on a linearized online sliding-window deep neural network predictor [104].…”
Section: Model Predictive Controlmentioning
confidence: 99%
“…Although MPC can enhance control performance, it has real-time implementation issues. The main reason is that optimization in MPC leads to a huge computational burden [16]. The MPC controller mainly includes an optimization problem and a mathematical algorithm.…”
Section: Introductionmentioning
confidence: 99%