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Turbo-shaft engine adaptive neural network control based on nonlinear state space equation

Chinese Journal of Aeronautics 2024年第4期37卷 493-507页

作者： Ziyu GU Qiuhong LI Shuwei PANG Wenxiang ZHOU Jichang WU Chenyang ZHANG Jiangsu Province Key Laboratory of Aerospace Power System Nanjing University of Aeronautics and AstronauticsNanjing 210016China AECC Hunan Aviation Powerplant Research Institute Zhuzhou 412002China

Intelligent adaptive control(AC) has remarkable advantages in the control system design of aero-engine which has strong nonlinearity and uncertainty. Inspired by the Nonlinear Autoregressive Moving Average(NARMA)-L2 adaptive control, a novel Nonlinear State Space Equation(NSSE) based adaptive neural network control(NSSE-AC) method is proposed for the turbo-shaft engine control system design. The proposed NSSE model is derived from a special neural network with an extra layer, and the rotor speed of the gas turbine is taken as the main state variable which makes the NSSE model be able to capture the system dynamic better than the NARMA-L2 model. A hybrid Recursive Least-Square and Levenberg-Marquardt(RLS-LM) algorithm is advanced to perform the online learning of the neural network, which further enhances both the accuracy of the NSSE model and the performance of the adaptive controller. The feedback correction is also utilized in the NSSE-AC system to eliminate the steady-state tracking error. Simulation results show that, compared with the NARMA-L2 model, the NSSE model of the turboshaft engine is more accurate. The maximum modeling error is decreased from 5.92% to 0.97%when the LM algorithm is introduced to optimize the neural network parameters. The NSSE-AC method can not only achieve a better main control loop performance than the traditional controller but also limit all the constraint parameters efficiently with quick and accurate switching responses even if component degradation exists. Thus, the effectiveness of the NSSE-AC method is validated.

关键词： adaptive control systems Turbo-shaft engine Neural network Nonlinear state space equation NARMA-L2

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adaptive Robust control for A Class of Nonlinear systems with Unknown Uncertainties

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Journal of systems Engineering and Electronics 2001年第3期12卷 51-56页

作者： Li, L. Yang, G. Zhao, C. Ctr. for Space Sci. and Applied Res. Chinese Academy of Sciences Beijing 100080 China

The problem of robust stabilization for nonlinear systems with partially known uncertainties is considered in this paper. The required information about uncertainties in the system is merely that the uncertainties are bounded, but the upper bounds are incompletely known. This paper can be viewed as an extension of the work in reference [1]. To compensate the uncertainties, an adaptive robust controller based on Lyapunov method is proposed and the design algorithm is also suggested. Compared with some previous controllers which can only ensure ultimate uniform boundedness of the systems, the controller given in the paper can make sure that the obtained closed-loop system is asymptotically stable in the large. Simulations show that the method presented is available and effective.

关键词： adaptive algorithms adaptive control systems Asymptotic stability Closed loop control systems Computer simulation Interfaces (computer) Lyapunov methods Robustness (control systems) Uncertain systems

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adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems

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Journal of Harbin Institute of Technology(New Series) 2012年第1期19卷 44-49页

作者：王宇飞姜长生吴庆宪张强 College of Automation engineering Nanjing University of Aeronautics and Astronautics

An adaptive fuzzy tracking control scheme is presented for a class of switched multi-input-multi-output (MIMO) nonlinear systems with disturbances under arbitrary switching. adaptive fuzzy systems are employed to approximate the unknown functions on line,and a systematic framework for adaptive fuzzy tracking controller design is given,where the dynamic surface control (DSC) approach is used to solve the problem of "explosion of complexity"in the backstepping design procedure. According to the common Lyapunov function theory,it is proved that the proposed controller can guarantee the boundedness of all signals in the closed loop system. Finally,the simulation results demonstrate the validity of the control approach.

关键词： adaptive control systems fuzzy control switched systems baekstepping common Lyapunov function

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adaptive control of MIMO Mechanical systems with Unknown Actuator Nonlinearities Based on the Nussbaum Gain Approach

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IEEE/CAA Journal of Automatica Sinica 2016年第1期3卷 26-34页

作者： Ci Chen Zhi Liu Yun Zhang C.L.Philip Chen Shengli Xie School of Automation Guangdong University of Technology IEEE Faculty of Science and Technology University of Macao Guangdong Key Laboratory of IoT Information Processing

This paper investigates MIMO mechanical systems with unknown actuator nonlinearities. A novel Nussbaum analysis tool for MIMO systems is established such that unknown time-varying control coefficients are tackled. In contrast to existing literatures on continuous-time systems, the newly-developed Nussbaum tool focuses on extending the traditional Nussbaum result from one dimensional case to the multiple one. Specifically, not only the multiple unknown input coefficients are extended to the time-varying, but also the limitation of the prior knowledge of coefficients' upper and lower bounds is removed. Furthermore, an adaptive robust controller associated with the proposed tool is presented. The asymptotic tracking of MIMO mechanical systems is guaranteed with the help of the Lyapunov Theorem. Finally, a simulation example is provided to examine the validity of the proposed scheme. © 2014 Chinese Association of Automation.

关键词： Actuators adaptive control systems control nonlinearities Mechanical actuators Mechanics MIMO systems Time varying control systems

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Nonlinear adaptive flight control system:Performance enhancement and validation

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Chinese Journal of Aeronautics 2023年第4期36卷 354-365页

作者： Yue FENG Zonghua SUN Liaoni WU Yongshun WANG Bin XI Weng Khuen HO Yancheng YOU School of Aerospace Engineering Xiamen UniversityXiamen 361102China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore

The problem of decreasing stability margins in L1 adaptive control systems is discussed and an out-of-loop L1 adaptive control scheme based on Lyapunov’s stability theorem is *** scheme enhances the effectiveness of the adaptation,which ensures that the system has suffi-cient stability margins to achieve the desired performance under parametric uncertainty,additional delays,and actuator *** stability of the developed control system is demonstrated through a series of *** with an existing control scheme,the constant adjustment of the sta-bility margins by the proposed adaptive scheme allows their range to be extended by a factor of 4–5,bringing the stability margin close to that of variable gain PD control with adaptively scheduled *** engineered practicability of adaptive technology is verified.A series of flight tests verify the practicability of the designed adaptive *** results of these tests demonstrate the enhanced performance of the proposed control scheme with nonlinear parameter estimations under insufficient stability margins and validate its robustness in the event of actuator failures.

关键词： adaptive control systems control engineering Flight control systems Nonlinear control systems Robustness stability

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High-performance laser power feedback control system for cold atom physics

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Chinese Optics Letters 2011年第9期9卷 42-44页

作者：鹿博 Thibault Vogt 刘新星周小计陈徐宗 School of Electronics Engineering and Computer Science Peking University

A laser power feedback control system that features fast response, large-scale performance, low noise, and excellent stability is presented. Some essential points used for optimization are described. Primary optical lattice experiments are given as examples to show the performance of this system. With these performance characteristics, the power control system is useful for applications in cold atom physics and precision measurements.

关键词： adaptive control systems Feedback control

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Composite control of Linear/adaptive Variable Structure control

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Chinese Journal of Aeronautics 2001年第1期14卷 49-56页

作者：顾文锦张翼飞李常平 Beijing Electromechanical Engineering Institute

This paper first researches the system's response-feature due to the sliding regime related to the slope of a switching line, and then makes an investigation on the existence condition and hitting condition. Based on these conditions, the paper proposes a switching function that can realize an error adaptive variable structure control (AVSC) successfully. For eliminating the chattering of the sliding regime, this VSS introduces a dead zone, in which the PID control is applied. The composition of the PID control and the AVSC is called composite control of linear / AVSC. When the control signal is a large one, the AVSC is applied in the majority, and when the signal is a low one, the PID control is applied. Finally, an example of overload control of an anti-ship aerodynamic missile is illustrated to show the application of the composite control.

关键词： adaptive control systems Aerodynamics Missiles Three term control systems

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Attitude control of Multiple Rigid Bodies with Uncertainties and Disturbances

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 2-10页

作者： Yuanqing Xia Ning Zhou Kunfeng Lu Yong Li the School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology the Qian Xuesen Laboratory of Space Technology China Academy of Space Technology

Decentralized attitude synchronization and tracking control for multiple rigid bodies are investigated in this paper. In the presence of inertia uncertainties and environmental disturbances, we propose a class of decentralized adaptive sliding mode control laws. An adaptive control strategy is adopted to reject the uncertainties and disturbances. Using the Lyapunov approach and graph theory, it is shown that the control laws can guarantee a group of rigid bodies to track the desired time-varying attitude and angular velocity while maintaining attitude synchronization with other rigid bodies in the formation. Simulation examples are provided to illustrate the feasibility and advantage of the control algorithm. © 2014 Chinese Association of Automation.

关键词： adaptive control systems Algorithms Attitude control Environmental regulations Graph theory Rigid structures Sliding mode control Synchronization

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adaptive PREDICTIVE control OF NEAR-SPACE VEHICLE USING FUNCTIONAL LINK NETWORK

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Transactions of Nanjing University of Aeronautics and Astronautics 2010年第2期27卷 148-154页

作者：都延丽吴庆宪姜长生南京航空航天大学自动化学院

A novel nonlinear adaptive control method is presented for a near-space hypersonic vehicle （NHV） in the presence of strong uncertainties and disturbances. The control law consists of the optimal generalized predictive controller （OGPC） and the functional link network （FLN） direct adaptive law. OGPC is a continuous-time nonlinear predictive control law. The FLN adaptive law is used to offset the unknown uncertainties and disturbances in a flight through the online learning. The learning process does not need any offline training phase. The stability analyses of the NHV close-loop system are provided and it is proved that the system error and the weight learning error are uniformly ultimately hounded. Simulation results show the satisfactory performance of the con- troller for the attitude tracking.

关键词： predictive control systems adaptive control systems uncertainty functional link network near-space vehicle

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Modeling and Robust Backstepping Sliding Mode control with adaptive RBFNN for a Novel Coaxial Eight-rotor UAV

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 56-64页

作者： Cheng Peng Yue Bai Xun Gong Qingjia Gao Changjun Zhao Yantao Tian the Department of control Science and Engineering Jilin University the Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of Sciences Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of Sciences University of Chinese Academy of Sciences

This paper focuses on the robust attitude control of a novel coaxial eight-rotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against disturbances than quad-rotor UAV. The dynamical and kinematical model for the coaxial eight-rotor UAV is developed, which has never been proposed before. A robust backstepping sliding mode controller (BSMC) with adaptive radial basis function neural network (RBFNN) is proposed to control the attitude of the eightrotor UAV in the presence of model uncertainties and external disturbances. The combinative method of backstepping control and sliding mode control has improved robustness and simplified design procedure benefiting from the advantages of both controllers. The adaptive RBFNN as the uncertainty observer can effectively estimate the lumped uncertainties without the knowledge of their bounds for the eight-rotor UAV. Additionally, the adaptive learning algorithm, which can learn the parameters of RBFNN online and compensate the approximation error, is derived using Lyapunov stability theorem. And then the uniformly ultimate stability of the eight-rotor system is proved. Finally, simulation results demonstrate the validity of the proposed robust control method adopted in the novel coaxial eight-rotor UAV in the case of model uncertainties and external disturbances. © 2014 Chinese Association of Automation.

关键词： adaptive control systems Aircraft control Approximation algorithms Attitude control Backstepping controllers Functions Learning algorithms Radial basis function networks Robust control Robustness (control systems) Sliding mode control Uncertainty analysis

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