Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Yao, Xiaoyu; Yang, Yuhao

doi:10.1155/2020/4531302

Cited by 7 publications

(9 citation statements)

References 37 publications

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“…The robustness of the control is evaluated considering external disturbances, such as loading and unloading conditions during the flight. In [30], the adaptive control using feedback linearization is applied to an aircraft control system. Numerical simulations are presented to show that the proposed control is robust in the case of wind disturbance.…”

Section: Article History Received 03 May 2021 Revised 24 May 2021 Accepted 26 May 2021mentioning

confidence: 99%

SDRE and LQR Controls Comparison Applied in High-Performance Aircraft in a Longitudinal Flight

Santos

Kossoski

Balthazar

et al. 2021

IJRCS

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This paper presents the design of the LQR (Linear Quadratic Regulator) and SDRE (State-Dependent Riccati Equation) controllers for the flight control of the F-8 Crusader aircraft considering the nonlinear model of longitudinal movement of the aircraft. Numerical results and analysis demonstrate that the designed controllers can lead to significant improvements in the aircraft's performance, ensuring stability in a large range of attack angle situations. When applied in flight conditions with an angle of attack above the stall situation and influenced by the gust model, it was demonstrated that the LQR and SDRE controllers were able to smooth the flight response maintaining conditions in balance for an angle of attack up to 56% above stall angle. However, for even more difficult situations, with angles of attack up to 76% above the stall angle, only the SDRE controller proved to be efficient and reliable in recovering the aircraft to its stable flight configuration.

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Section: Article History Received 03 May 2021 Revised 24 May 2021 Accepted 26 May 2021mentioning

confidence: 99%

SDRE and LQR Controls Comparison Applied in High-Performance Aircraft in a Longitudinal Flight

Santos

Kossoski

Balthazar

et al. 2021

IJRCS

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“…Hence, the nonlinear system is an important subject of interest to engineers, physicists, mathematicians, and scientists. Some engineering and scientific applications of the nonlinear systems can be found in [8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

FPGA Realization of Spherical Chaotic System with Application in Image Transmission

Nuñez-Perez

Adeyemi

Sandoval-Ibarra³

et al. 2021

Mathematical Problems in Engineering

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This paper considers a three-dimensional nonlinear dynamical system capable of generating spherical attractors. The main activity is the realization of a spherical chaotic attractor on Intel and Xilinx FPGA boards, with a focus on implementation of a secure communication system. The first major contribution is the successful synchronization of two chaotic spherical systems, in VHDL program, in a master-slave topology using Hamiltonian forms. The synchronization errors show that the two spherical chaotic systems synchronize in a very short time after which the error signals become zero. The second major contribution is the FPGA realization of a spherical chaotic attractor-based secure communication system, which involves encrypting both grayscale and RGB images with chaos and diffusion key at the transmitting system, sending the encrypted image via the state variables, and reconstructing the encrypted image at the receiving system. The Intel Stratix III and Xilinx Artix-7 AC701 results are the same as those of MATLAB. The statistical analyses of the encrypted and received images show that the implemented system is very effective, as it reveals high degree of randomness in the encrypted images with the entropy test, and the obtained correlation coefficient, which is zero, removes relativity between the original and encrypted images. Finally, the transmission system fully recovers the original grayscale and RGB images without loss of information.

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“…To prevent multiple switching [8], a controller approach based on the H2 multivariate control / regulator theory is presented to control the aircraft. A control method based on feedback linearization design for aircraft multi-variable nonlinear dynamics with unknown excitation faults and unknown disturbances has been presented [9]. In the mentioned paper, a direct adaptive controller is generated to monitor the faults from parameters uncertainty, and then an integrated comparator with adaptive weight can provide effective compensation for the effect on the faults.…”

Section: Introductionmentioning

confidence: 99%

“…In the mentioned paper, a direct adaptive controller is generated to monitor the faults from parameters uncertainty, and then an integrated comparator with adaptive weight can provide effective compensation for the effect on the faults. Complexity and difficult implementation are the disadvantages of the presented method in the paper [9]. Unfortunately, most of the above methods have used the linear mathematical model of the aircraft to design the controller, while the nature of the dynamic behavior of flight systems is nonlinear.…”

Section: Introductionmentioning

confidence: 99%

A New Type-2 Fuzzy Sliding Mode Control for Longitudinal Aerodynamic Parameters of a Commercial Aircraft

Tavoosi¹

2020

JESA

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Although sliding mode control has many advantages such as stability and robustness but there are two important disadvantages as follow: Chattering phenomenon and mathematical nonlinear dynamic equivalent controller part. So, this paper presents a new method of adaptive sliding mode control based on general type-2 fuzzy logic to overcome on the mentioned problems. First, the longitudinal motion equations of a commercial aircraft and the upper limits of the unknown functions are introduced, which include the driving errors and uncertain parameters of the model. Then, a general type-2 fuzzy neural network (GT2FNNs), with adaptive rules, estimates these limits. Estimating the limits can reduce the computational load with less rules and weight than the dynamic matrix. The Boeing 747 is being studied and an attempt has been made to use a model very close to this aircraft. The stability of the control system has been proven. The simulation results show that by applying three models of faults to the aircraft system, the proposed type-2 fuzzy-based sliding mode control has excellent performance, especially in controlling the Aileron and Rudder angles.

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Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Cited by 7 publications

References 37 publications

SDRE and LQR Controls Comparison Applied in High-Performance Aircraft in a Longitudinal Flight

SDRE and LQR Controls Comparison Applied in High-Performance Aircraft in a Longitudinal Flight

FPGA Realization of Spherical Chaotic System with Application in Image Transmission

A New Type-2 Fuzzy Sliding Mode Control for Longitudinal Aerodynamic Parameters of a Commercial Aircraft

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