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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 backstepping common Lyapunov function

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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 proposed.This 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 faults.The stability of the developed control system is demonstrated through a series of simulations.Compared 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 gains.The engineered practicability of adaptive technology is verified.A series of flight tests verify the practicability of the designed adaptive technology.The 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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The fuzzy systems handbook: A practitioner's guide to building, using, and maintaining fuzzy systems 2nd ed

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1999年

作者： Cox Earl

来源：畅想之星图书光盘版（南... 评论

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