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Fractional-Order Control for a Novel Chaotic System Without Equilibrium

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IEEE/CAA Journal of Automatica Sinica 2019年第4期6卷 1000-1009页

作者： Shuyi Shao mou chen the College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China IEEE

The control problem is discussed for a chaotic system without equilibrium in this *** the basis of the linear mathematical model of the two-wheeled self-balancing robot,a novel chaotic system which has no equilibrium is *** basic dynamical properties of this new system are studied via Lyapunov exponents and Poincar′e *** further demonstrate the physical realizability of the presented novel chaotic system,a chaotic circuit is *** using fractional-order operators,a controller is designed based on the state-feedback *** to the Gronwall inequality,Laplace transform and Mittag-Leffler function,a new control scheme is explored for the whole closed-loop *** the developed control scheme,the state variables of the closed-loop system are controlled to stabilize them to ***,the numerical simulation results of the chaotic system with equilibrium and without equilibrium illustrate the effectiveness of the proposed control scheme.

关键词： Chaotic system circuit implementation fractional-order stabilization

Adaptive dynamic surface control of NSVs with input saturation using a disturbance observer

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Chinese Journal of Aeronautics 2015年第3期28卷 853-864页

作者： chen mou Yu Jing College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Abstract An adaptive dynamic surface control （DSC） scheme is proposed for the multiinput and multioutput （MIMO） attitude motion of nearspace vehicles （NSVs） in the presence of external dis turbance, system uncertainty and input saturation. The external disturbance and the system uncer tainty are efficiently tackled using a Nussbaum disturbance observer （NDO）, and the adaptive controller is constructed by combining the dynamic surface control technique to handle the problem of ＂explosion of complexity＂ inherent in the conventional backstepping methodl For handling the input saturation, an auxiliary system is designed with the same order as that of the studied MIMO attitude system. Using the error between the saturation input and the desired control input as the input of the designed auxiliary system, a series of signals are generated to compensate for the effect of the saturation in the dynamic surface control design. It is proved that the developed control scheme can guarantee that all signals of the closedloop control system are semiglobally uniformly bounded. Finally, simulation results illustrate that the proposed control scheme can achieve satis factory tracking performance under the composite effects of the input saturation and the external disturbance.

关键词： Auxiliary system Disturbance observer Dynamic surface controlInput saturation Near-space vehicle

Robust bounded control for uncertain flight dynamics using disturbance observer

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Journal of Systems Engineering and Electronics 2014年第4期25卷 640-647页

作者： mou chen Bin Jiang College of Automation Engineering Nanjing University of Aeronautics and Astronautics

The robust bounded flight control scheme is developed for the uncertain longitudinal flight dynamics of the fighter with control input saturation invoking the backstepping technique. To enhance the disturbance rejection ability of the robust flight control for fighters, the sliding mode disturbance observer is designed to estimate the compounded disturbance including the unknown external disturbance and the effect of the control input saturation. Based on the backstepping technique and the compounded disturbance estimated output, the robust bounded flight control scheme is proposed for the fighter with the unknown external disturbance and the control input saturation. The closed-loop system stability under the developed robust bounded flight control scheme is rigorously proved using the Lyapunov method and the uniformly asymptotical convergences of all closed-loop signals are guaranteed. Finally, simulation results are presented to show the effectiveness of the proposed robust bounded flight control scheme for the uncertain longitudinal flight dynamics of the fighter.

关键词： flight dynamics bounded control robust control backstepping control disturbance observer.

Disturbance Observer-Based Safe Tracking Control for Unmanned Helicopters With Partial State Constraints and Disturbances

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2056-2069页

作者： Haoxiang Ma mou chen Qingxian Wu College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106 College of Information Engineering Henan University of Science and TechnologyLuoyang 471023China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China IEEE

In this paper, a disturbance observer-based safe tracking control scheme is proposed for a medium-scale unmanned helicopter with rotor flapping dynamics in the presence of partial state constraints and unknown external disturbances. A safety protection algorithm is proposed to keep the constrained states within the given safe-set. A second-order disturbance observer technique is utilized to estimate the external disturbances. It is shown that the desired tracking performance of the controlled unmanned helicopter can be achieved with the application of the backstepping approach, dynamic surface control technique, and Lyapunov method. Finally, the availability of the proposed control scheme has been shown by simulation results.

关键词： Disturbance observer dynamic surface control safe tracking control safety protection algorithm unmanned autonomous helicopter

Noncertainty-equivalent observer-based noncooperative target tracking control for unmanned aerial vehicles

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Science China(Information Sciences) 2022年第5期65卷 142-156页

作者： Kenan YONG mou chen Qingxian WU College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Target tracking is a typical and challenging scenario that is required to be executed by unmanned aerial vehicles(UAVs) in operational environments. This work investigates the noncooperative target tracking control problem for UAVs. An integrated model is constructed by combining the dynamics of both the line-of-sight variables and the acceleration components. Particularly, the dynamics of the acceleration components, that contain unmeasurable states, characterize the relative motion between the noncooperative target and the UAV. To estimate these states, a globally convergent observer is developed by utilizing the noncertainty-equivalent(NCE) structure. With the integrated model and the NCE observer, an output-feedback target tracking control scheme is proposed using the dynamic surface control technique and the prescribed performance control method. Based on the Lyapunov approach, the relative spatial positions of the target and the UAV are proved to always stay within a specified operation region and ultimately converge to a small terminal region. Finally, simulation results are presented to illustrate the effectiveness of the proposed target tracking control scheme.

关键词： noncooperative target tracking unmanned aerial vehicles noncertainty-equivalent observer prescribed performance control

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Reinforcement Learning Based Data Fusion Method for Multi-Sensors

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IEEE/CAA Journal of Automatica Sinica 2020年第6期7卷 1489-1497页

作者： Tongle Zhou mou chen Jie Zou College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China IEEE Science and Technology on Electron-Optic Control Laboratory Luoyang Institute of Electro-Optical Equipment of AvicLuoyang 471023China

In order to improve detection system robustness and reliability, multi-sensors fusion is used in modern air combat. In this paper, a data fusion method based on reinforcement learning is developed for multi-sensors. Initially, the cubic B-spline interpolation is used to solve time alignment problems of multisource data. Then, the reinforcement learning based data fusion(RLBDF) method is proposed to obtain the fusion results. With the case that the priori knowledge of target is obtained, the fusion accuracy reinforcement is realized by the error between fused value and actual value. Furthermore, the Fisher information is instead used as the reward if the priori knowledge is unable to be obtained. Simulations results verify that the developed method is feasible and effective for the multi-sensors data fusion in air combat.

关键词： Air combat cubic B-spline interpolation data fusion reinforcement learning

Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

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Science China(Information Sciences) 2020年第4期63卷 227-229页

作者： Shuyi SHAO mou chen College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Dear editor,For real-world control systems, there are often system uncertainties caused by modeling errors, disturbances caused by external unknown environments, and saturation caused by physical limitations of the actuator. The above-mentioned problems can not only degrade the performance of the controlled object, but also result in system insta-

关键词： Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

Fuzzy Optimal Control Design for Ship Steering

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Transactions of Nanjing University of Aeronautics and Astronautics 2019年第3期36卷 459-467页

作者： EJAZ Muhammad chen mou College of Automation Engineering Nanjing University of Aeronautics and Astronautics

This paper presents a method to design a control scheme for nonlinear systems using fuzzy optimal *** the design process,the nonlinear system is first converted into local subsystems using sector non linearity approach of Takagi Sugeno(T S)fuzzy *** each local subsystem,an optimal control is ***,the parameters of local controllers are defuzzified to construct a global optimal *** prove the effectiveness of this control scheme,simulations are performed using the mathematical model of Esso Osaka tanker ship for set point regulation with and without disturbance and reference *** addition,the simulation results are compared with that of a PID controller for further verification and *** has been shown that the proposed optimal controller can be used for the nonlinear ship steering with good rise time,zero steady state error and fast settling time.

关键词： Takagi Sugeno(T S) fuzzy modeling optimal control optimal linear quadratic tracker (LQT) ship steering

Robust Fault-Tolerant Control for Longitudinal Dynamics of Aircraft with Input Saturation

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Transactions of Nanjing University of Aeronautics and Astronautics 2016年第3期33卷 319-328页

作者： Yang Qingyun chen mou College of Automation Engineering Nanjing University of Aeronautics and Astronautics

A robust fault-tolerant control scheme is proposed for the longitudinal dynamics of an aircraft with input saturation,using the anti-windup method and the fault detection observer *** estimate the system fault,a detection observer is designed for the longitudinal dynamics,and a fault-tolerant control law is developed to compensate for the fault effects of the longitudinal ***,an anti-windup compensator is augmented into the fault-tolerant control law to eliminate the effect of input *** linear matrix inequality(LMI)technology,the detection observer based fault-tolerant controller is designed to ensure the stability of the closed-loop system and the convergence of the detection ***,the developed robust fault-tolerant control scheme is applied to the longitudinal model of an aircraft and simulation results are presented to illustrate the effectiveness of the proposed control scheme.

关键词： longitudinal dynamics input saturation detection observer fault-tolerant control aircrafts