A Multi-loop Switching Controller for Aircraft Gas Turbine Engine with Stability Proof

Imani, Amin; Montazeri-Gh, Morteza

doi:10.1007/s12555-018-0803-5

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Gas turbines are the significant and extensively employed prime movers in transportation industry [3]. The public perception is that the aircraft engine is one of the most widely used types of gas turbines [4], [5]. Besides this important application area, gas turbines are used in power systems where they are the main power generators [6].…”

Section: Introductionmentioning

confidence: 99%

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

et al. 2021

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An accurate understanding of the output power functionality in gas turbines concerning the fuel, inlet valve status and other parameters can provide a general overview of the turbine's performance. In this study, the problem of practical power regulation in gas turbines is investigated in the simultaneous presence of actuator constraints, unknown disturbances, and measurement noises. To this aim, a model predictive controller-based approach is utilized because of its high flexibility combined with a twolayer filtering and anti-filtering procedure to efficiently cope with the measurement noises. Moreover, the proposed structure takes the effects of unknown disturbances into account and thereby it is shown that the proposed controller can efficiently achieve all design objectives while handling actuator constraints, disturbances and measurement noises.

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Section: Introductionmentioning

confidence: 99%

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

et al. 2021

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“…In a way, research on the Lurie’s problem took a bigger leap in the 1980s, when works began to appear that linked the problem to other areas and approaches such as neural networks (Liao and Yu, 2008; Pinheiro and Colón, 2019); complex network (Li et al, 2012); chaos and chaos synchronization (Kazemy and Farrokhi, 2017); convex approach to the Lurie problem (Gapski and Geromel, 1994); linear parameter varying (LPV) system (Yu and Liao, 2019); uncertain systems (Tan and Atherton, 2003); Integral Quadratic Constraints (IQC) and Zames-Falb multipliers (Carrasco et al, 2016); μ analysis (Abtahi and Yazdi, 2019; Lee and Juang, 2005); and more recently the application of Lurie’s problem in modern control systems such as Hopfield neural network controls (Pinheiro and Colón, 2021), modeling Alzheimer’s disease (Pinheiro and Colón, 2020), tracking differential extended state observer (Wang et al, 2020) and in control rates of the extended state observer (ESO) for speed control system for the pitching axis of a remote sensing camera (Liu, 2020). In addition to all these new lines of application and study of the Luries problem, its study remains current in the aeronautical field, as can be seen in Imani and Montazeri-Gh (2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis and synthesis of single-input-single-output Lurie type systems via H∞ mixed-sensitivity

Pinheiro

Colón

2021

Transactions of the Institute of Measurement and Control

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The goal of this paper is to present a different approach to the analysis of the absolute stability of Lurie type systems in the single-input-single-output (SISO) case using robust control theory. The proposed technique enables the design of controllers via [Formula: see text] mixed-sensitivity (S/KS/T), where, besides making the system absolutely stable, the performance problem can also be solved. In addition, it is also demonstrated that it is possible to make use of this new approach in time-delay Lurie type systems. Thus, through a new methodology, this work paves the way to the study of the absolute stability of multiple-inputs-multiple-outputs (MIMO) systems, aiming at a better generalization of the theory and enabling applications in other areas, such as neural networks. Examples, numerical simulations and application in Chua’s circuit are given to illustrate the results.

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“…Some methods to shape the response characteristics of the engine outputs are to reduce the possibility of limit violation in the transient regime [11][12][13]; the second current research interest is to improve the switching logic of the Min-Max strategy, which can reduce unnecessary controller switching and improve the dynamic performance of the engine by adding information on key engine parameters as the basis of control loop switching [14]. Thirdly, is the stability verification of the Min-Max strategy, including the stability verification of the Min-Max control strategy with a sliding mode controller [15], and the substitution of Min and Max selectors with nonlinear equivalents, so as to transform the control system into the Lure's system for stability verification [16]. However, it is undeniable that the Min-Max method has inherent shortcomings-i.e., its switching logic is only related to the control input.…”

Section: Introductionmentioning

confidence: 99%

An Output-Based Limit Protection Strategy for Turbofan Engine Propulsion Control with Output Constraints

Qin

Pan

et al. 2019

Energies

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To accomplish the limit protection task, the Min-Max selection structure is generally adopted in current aircraft engine control strategies. However, since no relationship between controller switching and limit violation is established, this structure is inherently conservative and may produce slower transient responses than the behavior by engine nature. This paper proposes an output-based limit management strategy, which consists of the safety margin module and the parameter prediction module to monitor system responses, plus the switching logic to govern switches between the main controller and limiters, and, in this way, a faster transient performance is achieved, and the limit protections in transient states become more effective. To realize smooth switching control, the linear-quadratic bumpless transfer method is developed. The design principle of the multi-loop switching control and bumpless compensator is detailed, and the effect-on limit protection control performance-of the design parameters in the safety margin and parameter prediction modules are also analyzed. The proposed approach is tested using simulations covering the whole flight envelope on the nonlinear component-level model of a turbofan engine, and the superiority over the Min-Max architecture is also validated.

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A Multi-loop Switching Controller for Aircraft Gas Turbine Engine with Stability Proof

Cited by 12 publications

References 20 publications

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

Analysis and synthesis of single-input-single-output Lurie type systems via H∞ mixed-sensitivity

An Output-Based Limit Protection Strategy for Turbofan Engine Propulsion Control with Output Constraints

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