Integrated supervised adaptive control for the more Electric Aircraft

In this paper, a hybrid nonlinear control scheme combines nonlinear dynamic inversion (NDI) and adaptive sliding mode (ASM) control is proposed for high angle of attack fighter system with center of gravity perturbation and aerodynamic parameter uncertainty. By introducing the affine nonlinear model of inner loop angular velocity with center of gravity perturbation, an adaptive sliding mode control scheme based on the online estimation of radial basis function (RBF) neural network is designed, which can reduce the dynamic inversion error of NDI control and rapidly compensate the multi-coupled channel oscillation. The aerodynamic force and moment coefficients are estimated via the iterative weighted least squares (IRLS) method. The outer loop integral sliding mode (ISM) NDI controller is designed, which can be robust to disturbances and mismatched uncertainties through adjusting adaptive gain, and the rudder yaw chattering caused by the uncertainty of aerodynamic parameters is reduced simultaneously. The Lyapunov stability theory and Barbarat lemma prove the stability of the designed control scheme, and the effectiveness of the hybrid nonlinear control scheme is verified based on F-16 model.

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“…x Φ s s (40) Substituting the control law ( 37) into (40), the following formula is obtained after simplification:…”

Section: ) Adaptive Ism Control Law Design For Outer Loopmentioning

confidence: 99%

Hybird Nonlinear Control for Fighter With Center of Gravity Perturbation and Aerodynamic Parameter Uncertainty

et al. 2021

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“…Recently, the aircraft system plays an important role in globe world economics, human culture, space discovering, and technology development [1][2]. However, in order to obtain aircraft with fewer carbon emission, fuel saving, quitter flight and reduced weight and noise, the traditionally actuators powered by mechanical, pneumatic, and hydraulic sources such as environmental control, wing ice protection, and fuel pumping systems) are replaced by controlled electric systems [3][4][5]. To this manner, a considerable change in the design of modern aircraft.…”

Section: Introductionmentioning

confidence: 99%

Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Mahboub¹,

Rouabah²,

Kafi³

et al. 2022

Diagnostyka

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The increased cost of fuel and maintenance in aircraft system lead to the concept of more electric aircraft, moreover this concept increase the use of power electronic converters in aircraft power system. Since in this application, the reliability is a crucial feature. Therefore, the use of more efficient, reliable and robust power converter with health management capability will be a big challenge. Multicellular topology of power converters has the required performance in terms of efficiency and robustness. However, the increased complexity of control and more power components (power switches and capacitors) goes along with an increase in possibility of failure in multicellular topology. Therefore, the main contribution of this paper is the use of multicellular topology advantageous with fault diagnosis and fault tolerant control in order to increase the robustness reliability. The health management using a fault detection with Fuzzy Pattern Matching (FPM) algorithm when a failure in power switches or flying capacitors of multicellular converter and a Fault Tolerant Control (FTC) with sliding mode of second parallel three cells multicellular converters. Simulation results with Matlab show the increased efficiency and the continuity of work during failure mode in aircraft power system.

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“…Experiments show that this control method can effectively improve the stability and robustness of the system. However, in traditional SMC [6], ASMC [7], and TSMC [8,9] control strategies, the sliding surface with respect to the control input has relative degree (RD) one. The control input acts on the first derivative of the sliding surface.…”

Section: Introductionmentioning

confidence: 99%

Application of an Improved STSMC Method to the Bidirectional DC–DC Converter in Photovoltaic DC Microgrid

Liu

Jiang

et al. 2022

Energies

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In a photovoltaic DC microgrid, the intermittent power supply of the distributed generation and the fluctuation of the load power will cause the instability of the bus voltage. An improved super-twisting sliding mode control method based on the super-twisting algorithm is proposed to solve this problem. In this paper, a bidirectional half-bridge buck–boost converter was selected as the research topic. The proposed control method replaces the sign function with the saturation function to further mitigate the chattering effect. The stability of the proposed control method was proven to be finite-time convergent using the Lyapunov theory control. Compared with PI control, linear sliding mode control, and terminal sliding mode control, the proposed control method reduces the system overshoot by up to 33% and greatly improves the response speed; compared with the traditional super-twisting sliding mode control method, the system overshoot is reduced by 6.8%, and the response speed is increased by 38%. The experimental results show that the proposed control method can reduce the fluctuation range of the bus voltage, shorten the time of bus voltage stability, effectively stabilize the bus voltage of the photovoltaic DC microgrid, and maintain strong robustness.

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Integrated supervised adaptive control for the more Electric Aircraft

Cited by 28 publications

References 45 publications

Hybird Nonlinear Control for Fighter With Center of Gravity Perturbation and Aerodynamic Parameter Uncertainty

Hybird Nonlinear Control for Fighter With Center of Gravity Perturbation and Aerodynamic Parameter Uncertainty

Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Application of an Improved STSMC Method to the Bidirectional DC–DC Converter in Photovoltaic DC Microgrid

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