论文信息 - Turbofan Engine Control System Design Using the LQG/LTR Methodology

Turbofan Engine Control System Design Using the LQG/LTR Methodology

Application of the Linear-Quadratic-Gaussian with Loop-Transfer-Recovery methodology to design of a control system for a simplified turbofan engine model is considered. The importance of properly scaling the plant to achieve the desired Target-Feedback-Loop is emphasized. The steps involved in the application of the methodology are discussed via an example, and evaluation results a presented for a reduced-order compensator. The effect of scaling the plant on the stability robustness evaluation of the closed-loop system is studied in detail.

Sanjay Garg

[1] Michael Athans. A Tutorial on the LQG/LTR Method , 1986, 1986 American Control Conference.

[2] B. Anderson,et al. Model reduction for control system design , 1984 .

[3] G. Stein,et al. The LQG/LTR procedure for multivariable feedback control design , 1987 .

[4] M. Athans,et al. Robustness results in linear-quadratic Gaussian based multivariable control designs , 1981 .

[5] E. E. Osborne. On Pre-Conditioning of Matrices , 1960, JACM.

[6] Pierre Apkarian,et al. Structured stability robustness improvement by eigenspace techniques- A hybrid methodology , 1989 .

[7] J. Doyle,et al. Minimizing Conservativeness of Robustness Singular Values , 1984 .

[8] Michael Athans,et al. Linear-quadratic Gaussian with loop-transfer recovery methodology for the F-100 engine , 1986 .

[9] Siva S. Banda,et al. Linear-quadratic-Gaussian with loop-transfer recovery methodology for an unmanned aircraft , 1987 .

[10] M. Safonov,et al. Exact calculation of the multiloop stability margin , 1988 .

[11] M. Safonov. Stability margins of diagonally perturbed multivariable feedback systems , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[12] Huibert Kwakernaak,et al. Linear Optimal Control Systems , 1972 .

[13] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .