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Active Fault Tolerant Nonsingular Terminal Sliding Mode Control for Electromechanical System Based on Support Vector Machine

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Chinese Journal of Mechanical Engineering 2024年第3期37卷 189-203页

作者： Jian Hu Zhengyin Yang Jianyong Yao School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China

Effective fault diagnosis and fault-tolerant control method for aeronautics electromechanical actuator is concerned in this *** borrowing the advantages of model-driven and data-driven methods,a fault tolerant nonsingular terminal sliding mode control method based on support vector machine(SVM)is proposed.A SVM is designed to estimate the fault by off-line learning from small sample data with solving convex quadratic programming method and is introduced into a high-gain observer,so as to improve the state estimation and fault detection accuracy when the fault *** state estimation value of the observer is used for state reconfiguration.A novel nonsingular terminal sliding mode surface is designed,and Lyapunov theorem is used to derive a parameter adaptation law and a control *** is guaranteed that the proposed controller can achieve asymptotical stability which is superior to many advanced fault-tolerant *** addition,the parameter estimation also can help to diagnose the system faults because the faults can be reflected by the parameters *** comparative simulation and experimental results illustrate the effectiveness and advancement of the proposed controller compared with several other main-stream controllers.

关键词： Aeronautics electromechanical actuator Fault tolerant control Support vector machine State observer parametric uncertainty

Robust Control Strategy for Inductive parametric Uncertainties of DC/DC Converters in Islanded DC Microgrid

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 335-344页

作者： Salisu Abdullahi Tao Jin P.M.Lingom School of Electrical Engineering and Automation Fuzhou UniversityFuzhouChina

Direct current(DC) microgrid consists of many parallel power converters that share load currents through the inductance of DC/DC converters. Usually, the inductance parameters are dependent on the physical implementation of the system, and their values may not match their nameplates. Such disparities could lead to unequal response characteristics of the system, which can potentially reduce the performances of the DC microgrid operation. This paper proposes a robust control strategy for inductive parametric uncertainties of DC/DC converters using an optimal control method with integral action. To achieve such a goal, the system model parameters with nominal values are transformed into parametric unmatched uncertainties to form a robust control problem, which is then transformed into a linear quadratic regulator problem. The inductance uncertainties are stabilized with the uncertainty dynamic algebraic Riccati equation(UDARE) using state feedback gain under linear quadratic regulator. The closed-loop control with integral action is adopted to achieve a steady-state error of zero on the DC-link voltage at any uncertainty of the inductive parameter, which subsequently ensures the equal load current sharing. Off-line simulations and real-time validations based on OpalRT have been conducted to demonstrate the effectiveness and robustness of the proposed robust control strategy.

关键词： DC/DC converter DC microgrid OpalRT optimal control parametric uncertainty robust control

Robust state estimation for uncertain linear discrete systems with d-step measurement delay and deterministic input signals

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IET Cyber-Systems and Robotics 2023年第1期5卷 89-107页

作者： Yu Tian Fanli Meng Yao Mao Junwei Gao Huabo Liu School of Automation Qingdao UniversityQingdaoChina Institute of Optics and Electronics Chinese Academy of SciencesChengduChina Shandong Key Laboratory of Industrial Control Technology QingdaoChina

In this study,the state estimation problems for linear discrete systems with uncertain parameters,deterministic input signals and d-step measurement delay are investigated.A robust state estimator with a similar iterative form and comparable computational complexity to the Kalman filter is derived based on the state augmentation method and the sensitivity penalisation of the innovation *** is discussed that the steady-state properties such as boundedness and convergence of the robust state estimator under the assumptions that the system parameters are time *** simulation results show that compared with the Kalman filter,the obtained state estimator is more robust to modelling errors and has nice estimation accuracy.

关键词： control deterministic input signals measurement delay parametric uncertainty robust control robustness

Anticontrol of chaos for discrete-time fuzzy hyperbolic model with uncertain parameters

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Chinese Physics B 2008年第2期17卷 529-535页

作者：赵淡张化光郑成德 School of Information Science and Engineering Northeastern University Key Laboratory of Process Industry Automation of Ministry of Education Northeastern University Department of Mathematics Dalian Jiaotong University

This paper proposes a new method to chaotify the discrete-time fuzzy hyperbolic model （DFHM） with uncertain parameters. A simple nonlinear state feedback controller is designed for this purpose. By revised Marotto theorem, it is proven that the chaos generated by this controller satisfies the Li-Yorke definition. An example is presented to demonstrate the effectiveness of the approach.

关键词： discrete-time fuzzy hyperbolic model anticontrol of chaos parametric uncertainty nonlinear state feedback

An improved impulsive control approach to robust lag synchronization between two different chaotic systems

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Chinese Physics B 2010年第9期19卷 226-232页

作者：马铁东浮洁孙跃 College of Automation Chongqing University

In this paper, a novel robust impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the theory of impulsive functional differential equations and a new differential inequality, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined region. Finally, some numerical simulations for the Lorenz system and Chen system are given to demonstrate the effectiveness and feasibility of the proposed method. Compared with the existing results based on so-called dual-stage impulsive control, the derived results reduce the complexity of impulsive controller, moreover, a larger stable region can be obtained under the same parameters, which can be shown in the numerical simulations finally.

关键词： chaotic systems robust lag synchronization impulsive control parametric uncertainty

Robust lag synchronization between two different chaotic systems via dual-stage impulsive control

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Chinese Physics B 2009年第9期18卷 3751-3757页

作者：张化光马铁东浮洁佟绍成 Key Laboratory of Integrated Automation for the Process Industry Ministry of EducationNortheastern University School of Information Science and Engineering Northeastern University Department of Mathematics and Physics Liaoning University of Technology

In this paper, an improved impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the new definition of synchronization with error bound and a novel impulsive control scheme （the so-called dual-stage impulsive control）, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined level, which is more reasonable and rigorous than the existing results. In particular, some simpler and more convenient conditions are derived by taking the same impulsive distances and control gains. Finally, some numerical simulations for the Lorenz system and the Chen system are given to demonstrate the effectiveness and feasibility of the proposed method.

关键词： chaotic systems lag synchronization dual-stage impulsive control parametric uncertainty

L1 adaptive control of a generic hypersonic vehicle model with a blended pneumatic and thrust vectoring control strategy

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Science China(Information Sciences) 2017年第3期60卷 139-152页

作者： Qi CHEN Jing WAN Jianliang AI Department of Aeronautics and Astronautics Fudan University Institute of Vehicle Design Fudan University

The extreme aeroheating at hypersonic regime and the insufficient dynamic pressure in the near space limit the achievable performance of the hypersonic vehicles using aerosurfaces alone. In this paper, an integrated pneumatic and thrust vectoring control strategy is employed to design a control scheme for the longitudinal dynamics of a hypersonic vehicle model. The methodology reposes upon a division of the model dynamics, and an L1adaptive control architecture is applied to the design of the inner-loop and outer-loop controllers. Further, a control allocation algorithm is developed to coordinate pneumatic and thrust vectoring control. Simulation results demonstrate that the allocation algorithm is effective in control coordination, and the proposed control scheme achieves excellent tracking performance in spite of aerodynamic uncertainties.

关键词： hypersonic flight control L1 adaptive control thrust vectoring control allocation parametric uncertainty

A practical nonlinear robust control approach of electro-hydraulic load simulator

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Chinese Journal of Aeronautics 2014年第3期27卷 735-744页

作者： Wang Chengwen Jiao Zongxia Wu Shuai Shang Yaoxing School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory

This paper studies a nonlinear robust control algorithm of the electro-hydraulic load simulator （EHLS）. The tracking performance of the EHLS is mainly limited by the actuator＇s motion disturbance, flow nonlinearity, and friction, etc. The developed controller is developed based on the nonlinear motion loading model. The problems of the actuator＇s disturbance and flow nonlinearity are considered. To address the friction problem, the friction model of the loading motor is identified experimentally. The friction disturbance is compensated using the obtained friction model. Therefore, this paper considers the main three factors comprehensively. The developed algorithm is easy to apply since the controller can be obtained just with one step back-stepping design. The stability of the developed algorithm is proven via Lyapunov analysis. Both co-simulation and experiments are performed to verify the effectiveness of this method.

关键词： Co-simulation Electro-hydraulic load simulator Hydraulic control equipment Nonlinear robust control parametric uncertainty

Robust state estimation for uncertain linear systems with random parametric uncertainties

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Science China(Information Sciences) 2017年第1期60卷 157-169页

作者： Huabo LIU Tong ZHOU Department of Automation Tsinghua University College of Automation and Electrical Engineering Qingdao University Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua University

In this paper, we investigate state estimations of a dynamical system with random parametric uncertainties which may arbitrarily affect a plant state-space model. A robust estimator is derived based on expectation minimization of estimation errors. An analytic solution similar to that of the well-known Kalman filter is derived for this new robust estimator which can be realized recursively with a comparable computational complexity. Under some weak assumptions, it is proved that this estimator converges to a stable system,the covariance matrix of estimation errors is bounded, and the estimation is asymptotically unbiased. Numerical simulations show that the obtained robust filter has an estimation accuracy comparable to other robust estimators and can be applied in a wider range.

关键词： robustness state estimation recursive estimation parametric uncertainty regularized leastsquares