2017
DOI: 10.3390/app7050439
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A New Robust Tracking Control Design for Turbofan Engines: H∞/Leitmann Approach

Abstract: In this paper, a H ∞ /Leitmann approach to the robust tracking control design is presented for an uncertain dynamic system. This new method is developed in the following two steps. Firstly, a tracking dynamic system with simultaneous consideration of parameter uncertainty and noise is modeled based on a linear system and a reference model. Accordingly, a "nominal system" from the tracking system is defined and controlled by a H ∞ control to obtain the asymptotical stability and noise resistance. Secondly, by m… Show more

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Cited by 15 publications
(4 citation statements)
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“…σ(F(jω)R(jω)) ≤ γσ(F d (jω)) for all ω > ω 0 (15) Full description of the applied algorithm for computation of Equations (14) and (15) can be found in Reference [2].…”
Section: Loop Shapingmentioning
confidence: 99%
See 1 more Smart Citation
“…σ(F(jω)R(jω)) ≤ γσ(F d (jω)) for all ω > ω 0 (15) Full description of the applied algorithm for computation of Equations (14) and (15) can be found in Reference [2].…”
Section: Loop Shapingmentioning
confidence: 99%
“…The robust control system was able to adapt using performance weights depending on coefficients, which were determined by the index of the engine's degradation. Robust tracking control of turbofan engines using the H ∞ Leitmann method was applied with good results in attenuation of the engine's uncertainties [14]. By numerical simulations, the authors in the paper proved very good performance in stability of a turbofan engine tracking control.…”
Section: Introductionmentioning
confidence: 99%
“…In Xie and Zhao (2016), the turbofan systems were constructed as linear parameter-varying systems, and were investigated by the model reference adaptive control method. The authors of Pan et al (2017) discussed the robust tracking control problem for turbofan systems using H / Leitmann approach. Turbofan systems were studied via applying the linear and parameter-varying control scheme in Balas (2002).…”
Section: Introductionmentioning
confidence: 99%
“…Aircraft engines are typical system of this kind [25], [26]. For engine multi-variable control designs, a set of linear models under corresponding operation conditions are extracted from an engine component-level thermodynamic model [27]- [29]. When the engine works from one operation condition to another continuously in the flight envelope, likewise, the modeling error and/or the disturbances increase significantly.…”
Section: Introductionmentioning
confidence: 99%