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High AOA decoupling control for aircraft based on ADRC

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Journal of Systems Engineering and Electronics 2020年第2期31卷 393-402页

作者： LIU Junjie sun Mingwei CHEN Zengqiang sun qinglin College of Artificial Intelligence Nankai UniversityTianjin 300350China

In this paper, a practical decoupling control scheme for fighter aircraft is proposed to achieve high angle of attack(AOA)tracking and super maneuver action by utilizing the thrust vector technology. Firstly, a six degree-of-freedom(DOF) nonlinear model with 12 variables is given. Due to low sufficiency of the aerodynamic actuators at high AOA, a thrust vector model with rotatable engine nozzles is derived. Secondly, the active disturbance rejection control(ADRC) is used to realize a three-channel decoupling control such that a strong coupling between different channels can be treated as total disturbance, which is estimated by the designed extended state observer. The control surface allocation is implemented by the traditional daisy chain method. Finally,the effectiveness of the presented control strategy is demonstrated by some numerical simulation results.

关键词： high angle of attack(AOA) decoupling control linear extended state observer(LESO) active disturbance rejection control(ADRC) thrust vector technology control allocation

Reinforcement learning based parameter optimization of active disturbance rejection control for autonomous underwater vehicle

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Journal of Systems Engineering and Electronics 2022年第1期33卷 170-179页

作者： SONG Wanping CHEN Zengqiang sun Mingwei sun qinglin College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Laboratory of Intelligent Robotics of Tianjin Nankai UniversityTianjin 300350China

This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion *** the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC ***, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified.

关键词： autonomous underwater vehicle(AUV) reinforcement learning(RL) Q-learning linear active disturbance rejection control(LADRC) motion decoupling parameter optimization

Design and stability analysis of a generalized reduced-order active disturbance rejection controller

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Science China(Technological Sciences) 2022年第2期65卷 361-374页

作者： WANG YongShuai CHEN ZengQiang sun Ming Wei sun qinglin College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Laboratory of Intelligent Robotics of Tianjin Tianjin 300350China

Disturbance and uncertainty rejection is a key objective in control system design, and active disturbance rejection control(ADRC)exactly provides an effective solution to this issue. To this end, this paper presents a generalized active disturbance rejection controller for a class of nonlinear uncertain systems with linear output. To be specific, a generalized reduced-order extended state observer(ESO) is proposed to reduce phase delay and complexity of the system, which can take full advantage of the system output. Also, this method includes the existing results with fewer assumptions, and can be applied to systems with any order measurable states or multiple states, even linear combination states. Furthermore, the stability of this approach is guaranteed and demonstrated through matrix transformation and Lyapunov method, and design examples and numerical simulations are given to show the effectiveness and practicability of the method.

关键词： generalized reduced-order ESO active disturbance rejection control(ADRC) linear combination states stability analysis Gronwall-Bellman inequality

Proportion integral-type active disturbance rejection generalized predictive control for distillation process based on grey wolf optimization parameter tuning

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Chinese Journal of Chemical Engineering 2022年第9期35卷 234-244页

作者： Jia Ren Zengqiang Chen Mingwei sun qinglin sun Zenghui Wang College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Lab of Intelligent Robotics of Tianjin Tianjin 300350China Department of Electrical and Mining Engineering University of South AfricaFlorida 1710South Africa

The high-purity distillation column system is strongly nonlinear and coupled,which makes it difficult to *** disturbance rejection control(ADRC)has been widely used in distillation systems,but it has limitations in controlling distillation systems with large time delays since ADRC employs ESO and feedback control law to estimate the total disturbance of the system without considering the large time *** paper designs a proportion integral-type active disturbance rejection generalized predictive control(PI-ADRGPC)algorithm to control the distillation column system with large time *** replaces the PD controller in ADRC with a proportion integral-type generalized predictive control(PI-GPC),thereby improving the performance of control systems with large time *** the proposed controller has many parameters and is difficult to tune,this paper proposes to use the grey wolf optimization(GWO)to tune these parameters,whose structure can also be used by other intelligent optimization *** performance of GWO tuned PI-ADRGPC is compared with the control performance of GWO tuned ADRC method,multi-verse optimizer(MVO)tuned PI-ADRGPC and MVO tuned *** simulation results show that the proposed strategy can track reference well and has a good disturbance rejection performance.

关键词： Proportion integral-type active disturbance rejection generalized predictive control Grey wolf optimization Parameter tuning Distillation Process control Prediction

Online control for pressure regulation of oxygen mask based on neural network

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Control Theory and Technology 2024年第3期22卷 487-501页

作者： Ligan Zhao qinglin sun Hao sun Jin Tao Zengqiang Chen College of Artificial Intelligence Nankai UniversityTianjin 300350China Silo Al Helsinki 00100Finland

The aviation oxygen mask,which has a small volume of less than 1L and strong air tightness,imposes extremely high requirements on control performance of the oxygen *** on analyses of the operation principle of oxygen supply system,the dynamic model is established through the combination of mechanism analysis and experimental *** that the traditional fixed-parameter controllers are difficult to meet the control requirements with changes in pulmonary ventilation,this paper presents an online feedback controller based on neural network compensation(NNC),with connection weights that can be updated without *** mathematical simulations at different respiratory parameters,such as respiratory rate,are performed to verify the superior lower inspiratory resistance of controller with *** terms of hardware,an embedded AI control platform is to complete the experimental ***,the work may have downward compatibility to achieve stable oxygen supply in civil fields,such as medical ventilators,high-altitude expeditions.

关键词： Neural network Online control Pressure regulation AI platform

A Flight Control System for Parafoils Based on Improved PID Control Approach 36

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A Flight Control System for Parafoils Based on Improved PID ...

Aerodynamic Performance of Parafoil with Different Leading Edge Incision in the Gust 36

第36届中国控制会议

作者： Hao sun qinglin sun Jin Tao Shuzhen Luo Zhengqiang Chen School of Computer and Control Engineering Nankai University

ISBN: (纸本)9781538629185

The PID control technique which is improved by linear extended state observer（LESO） is applied to the design of the flight control system for parafoils with Global Position System（GPS）. Firstly, in this paper, the nonlinear dynamics model of the parafoil system is outlined. Then, method of guidance and the theory of LESO is presented in detail. Next, the control system using improved PID control technique is introduced integrally. The results of simulation and flight test are presented and analyzed at the end of the paper. The results of the improved controller show the great superiority to the traditional PID controller. In the flight test, the error of the trajectory tracking is less than twenty meters and the control strategy has great application value on the precision aerial delivery system.

关键词： Parafoil precision aerial delivery system PID linear extended state observer

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Aerodynamic Performance of Parafoil with Different Leading E...

An Overview of Adverse Outcome Pathway Links between PM_(2.5)Exposure and Cardiac Developmental Toxicity

第36届中国控制会议

作者： Wannan Wu qinglin sun Zengqiang Chen Mingwei sun Shuzhen Luo College of Computer and Control Engineering Nankai University

ISBN: (纸本)9781538629185

A high precision and novel modeling method, to identify the aerodynamic parameters of the parafoil based on CFD（Computational Fluid Dynamics） is proposed. By solving the governing equations and the k-ε equations, the effects of leading edge incision of the parafoil on aerodynamic performance and stability are investigated. It is concluded that increasing the length and slope of the leading edge incision can decrease the lift coefficient and increase the drag coefficient, the stall angle of attack and lift to drag ratio are also decreased. The slope angle and the length have different effects on aerodynamic performance of the parafoil. Increasing the length affects the pressure distribution of the upper and lower wing surface. Increasing the slope leads to airflow separation at the trailing edge of the parafoil. Then, the variation of lift coefficients with time is obtained by adding different types of wind into the flow field on the basis of field velocity approach. By comparing the flow field of different models, it can be found that reducing the incision length and the slope are beneficial to enhance the stability of the parafoil.

关键词： Leading Edge Incision Aerodynamic Performance Stability Gust

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Environment & Health 2024年第3期2卷 105-113页

作者： Chen Liang Ruiyang Ding qinglin sun Shiqian Liu Zhiwei sun Junchao Duan Department of Toxicology and Sanitary Chemistry School of Public HealthCapital Medical UniversityBeijing 100069China Beijing Key Laboratory of Environmental Toxicology Capital Medical UniversityBeijing 100069China

Fine particulate matter(PM_(2.5))is a significant risk factor for birth *** the first and most important organ to develop during embryogenesis,the heart’s potential susceptibility to PM_(2.5)has attracted growing *** several studies supporting the cardiac developmental toxicity of PM_(2.5),the diverse study types,models,and end points have prevented the integration of *** this Review,we present an adverse outcome pathway framework to elucidate the association between PM_(2.5)-induced molecular initiating events and adverse cardiac developmental *** of the aryl hydrocarbon receptor(AhR)and excessive generation of reactive oxygen species(ROS)were considered as molecular initiating *** excessive production of ROS induced oxidative stress,endoplasmic reticulum stress,DNA damage,and inflammation,resulting in *** activation of the AhR inhibited the Wnt/β-catenin pathway and then suppressed cardiomyocyte *** cardiomyocyte differentiation and persistent apoptosis resulted in abnormalities in the cardiac structure and *** of the aforementioned events have been identified as key events(KEs).The culmination of these KEs ultimately led to the adverse outcome,an increased morbidity of congenital heart defects(CHDs).This work contributes to understanding the causes of CHDs and promotes the safety evaluation of PM_(2.5).

关键词： fine particulate matter adverse outcome pathways cardiac developmental toxicity congenital heart defects reactive oxygen species aryl hydrocarbon receptor

Variable structure control for descriptor Markovian jump systems subject to partially unknown transition probabilities

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Journal of Southeast University(English Edition) 2018年第4期34卷 466-473页

作者： Zhuang Huixuan sun qinglin Chen Zengqiang College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Laboratory of Intelligent Robots Nankai UniversityTianjin 300350China

The descriptor Markovian jump systems( DMJSs)with partially unknown transition probabilities( PUTPs) are studied by means of variable structure control. First,by virtue of the strictly linear matrix inequality( LMI) technique,a sufficient condition is presented, under which the DMJSs subject to PUTPs are stochastically admissible. Secondly,a novel sliding surface function based on the system state and input is constructed for DMJSs subject to PUTPs; and a dynamic sliding mode controller is synthesized, which guarantees that state trajectories will reach the pre-specified sliding surface in finite time despite uncertainties and disturbances. The results indicate that by checking the feasibility of a series of LMIs,the stochastic admissibility of the overall closed loop system is determined. Finally,the validity of the theoretical results is illustrated with the example of the direct-current motor. Furthermore,compared with the existing literature,the state convergence rate,buffeting reduction and overshoot reduction are obviously optimized.

关键词： descriptor Markovian jump systems (DMJSs) variable structure control (VSC) partially unknown transition probabilities (PUTPs) stochastic admissibility