Design of Disturbance Extended State Observer (D-ESO)-Based Constrained Full-State Model Predictive Controller for the Integrated Turbo-Shaft Engine/Rotor System

Gu, Nannan; Wang, Xi; Lin, Feiqiang

doi:10.3390/en12234496

Cited by 6 publications

(7 citation statements)

References 23 publications

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“…where α is the scheduling parameter, u(k) is the input vector of the LPV model, x(k) is the state variable vector, y(k) is the output vector of the LPV model and A(α), B(α), C(α) and D(α) are time-varying matrices scheduled by α. For smooth and reliable operation of the helicopter, the rotor speed of the power turbine was always kept at 100% to maintain the main rotor speed constant [42]. This was achieved by adjusting the fuel flow input to the engine.…”

Section: Lpv Model Descriptionmentioning

confidence: 99%

“…The sketch of the bi-rotor turbo-shaft engine researched in this paper is shown in Figure 1 [42]. During the operation, the compressed air is drawn from the inlet and flows through the compressor to the combustor where fuel is introduced, mixed, and ignited.…”

Section: Brief Introduction Of Turbo-shaft Enginementioning

confidence: 99%

“…All the components work cooperatively to provide power to the helicopter. For smooth and reliable operation of the helicopter, the rotor speed of the power turbine was always kept at 100% to maintain the main rotor speed constant [42]. This was achieved by adjusting the fuel flow input to the engine.…”

Section: Brief Introduction Of Turbo-shaft Enginementioning

confidence: 99%

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An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

Pang

Zhou

et al. 2022

Energies

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The linear parameter-varying (LPV) model is widely used in aero engine control system design. The conventional local modeling method is inaccurate and inefficient in the full flying envelope. Hence, a novel online data-driven LPV modeling method based on the online sequential extreme learning machine (OS-ELM) with an additional multiplying layer (MLOS-ELM) was proposed. An extra multiplying layer was inserted between the hidden layer and the output layer, where the hidden layer outputs were multiplied by the input variables and state variables of the LPV model. Additionally, the input layer was set to the LPV model’s scheduling parameter. With the multiplying layer added, the state space equation matrices of the LPV model could be easily calculated using online gathered data. Simulation results showed that the outputs of the MLOS-ELM matched that of the component level model of a turbo-shaft engine precisely. The maximum approximation error was less than 0.18%. The predictive outputs of the proposed online data-driven LPV model after five samples also matched that of the component level model well, and the maximum predictive error within a large flight envelope was less than 1.1% with measurement noise considered. Thus, the efficiency and accuracy of the proposed method were validated.

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Section: Lpv Model Descriptionmentioning

confidence: 99%

Section: Brief Introduction Of Turbo-shaft Enginementioning

confidence: 99%

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An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

Pang

Zhou

et al. 2022

Energies

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“…From the data presented in [35], it follows that failures of the measurement system can lead to the development of the self-oscillations. To prevent possible failures in the measuring system, a predictive controller was proposed in [36] but methods for preventing self-oscillations were not studied.…”

Section: Literature Reviewmentioning

confidence: 99%

Self-Oscillations of The Free Turbine Speed in Testing Turboshaft Engine with Hydraulic Dynamometer

et al. 2021

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Self-oscillations are one of the common problems in the complex automatic system, that can occur due to the features of the workflow and the design of the governor. The development of digital control systems has made it possible to damp self-oscillations by applying complex control laws. However, for hydromechanical systems, such way is unacceptable due to the design complexity and the governor cost. The objective of this work is to determine the parameters of the hydromechanical free turbine speed controller, ensuring the absence of self-oscillations during ground tests of the turboshaft engine with a hydraulic dynamometer. The TV3-117VM engine (Ukraine) with the NR-3VM regulator pump (Ukraine) was selected as the object of the study. However, self-oscillations can also occur in any modifications of the TV3-117 engine with any NR-3 regulator pump. The results of the research may be of interest to engineers and scientists who investigate the dynamics of automatic control systems for similar engines. The paper analyses the nonlinear features of the empirical characteristics of the FTSC leading to self-oscillations of the engine speed. The authors propose the mathematical model of the automatic control system dynamics, which takes into account all the features of the engine and regulator pump. It is shown that the load characteristics of the water brake and the helicopter main rotor can differ significantly. Research of the dynamic characteristics of the TV3-117VM engine was carried out. The analysis showed a good agreement between the calculation results and the field test results, and made it possible to determine the parameters of the controller, which lead to self-oscillations during test. Two cases are considered. The first case includes ground tests of the engine with a water brake; the second case—flight tests of the engine as part of the helicopter’s power plant. The data obtained make it possible to develop recommendations for adjusting the hydromechanical governor without testing it on the engine.

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“…To ensure the safety, reliability and economy, control system plays an important role in engine operation. Over the past decades, many classical control theories and advanced control techniques, such as sliding mode control, adaptive control, and H ∞ control, have been proposed to improve the engine control performance [2][3][4]. However, no single model-based controller can achieve the required control effect across the flight envelope [1,2].…”

Section: Introductionmentioning

confidence: 99%

Bumpless Transfer of Uncertain Switched System and Its Application to Turbofan Engines

et al. 2021

Self Cite

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Nonlinear control problems in turbofan engines are challenging. No single nonlinear controller can achieve desired control effects in a full flight envelope, but in the case of multiple controllers, there exist problems in the bumpless transfer between different controllers. To this end, this paper presents a bumpless transfer mechanism for an uncertain switched system based on integral sliding mode control (ISMC), and the mechanism can be used for the speed control of turbofan engines. The uncertain switched system is used to describe the turbofan engine dynamics. Then, the ISMC controller is derived for subsystems of the uncertain switched system. A resetting scheme is introduced for the ISMC controller to ensure the continuity of control inputs during the controller transition, as well as the bumpless transfer. In view of the transient behavior caused by controller switching, the global stability of the switched system is analyzed using the multiple Lyapunov function approach and average dwell time condition. Simulation results validate that the designed resetting scheme can ensure the continuity of control input signals and avoid the instability caused by high-frequency controller switching, and increase the control effectiveness of the proposed ISMC method within the full flight envelope.

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Design of Disturbance Extended State Observer (D-ESO)-Based Constrained Full-State Model Predictive Controller for the Integrated Turbo-Shaft Engine/Rotor System

Cited by 6 publications

References 23 publications

An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

Self-Oscillations of The Free Turbine Speed in Testing Turboshaft Engine with Hydraulic Dynamometer

Bumpless Transfer of Uncertain Switched System and Its Application to Turbofan Engines

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