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16th Annual Conference and 5th International Conference on Chinese Society of Micro-Nano Technology, CSMNT 2014

作者： Xiong, Rui Liu, Xiangdong Shan, Fengmin Key Laboratory for Intelligent Control and Decision of Complex Systems Beijing China Automation College Beijing Institute of Technology Beijing China

ISBN: (纸本)9783038354628

Piezoelectric actuator(PEA) is widely applied in micro/nano positioning system. However, its inherent hysteresis limits its application. Modeling of hysteresis plays an important role in solving this problem. Linear play operators (LPO) adaptive hysteresis model is introduced in this paper. LPO operators are used to replace delay operators of adaptive transversal filter to compose a new serial structure of adaptive transversal filter model, and LMS (Least Mean Square) algorithm is used to adjust the weight values. As hysteresis loop of piezoelectric actuator is asymmetric and LPO operator is symmetric, a modified LPO (MLPO) adaptive filter is proposed for asymmetric hysteresis effect. At last, the two LPO filters are applied to model hysteresis characteristic of Piezoelectric actuator, and the modeling effect is verified via a micro-positioning system experiment platform based on Piezoelectric actuator. Experimental results show that the modified LPO filters can achieve better accurate hysteresis modeling. © (2015) Trans Tech Publications, Switzerland.

关键词： Hysteresis

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Nonlinear time-varying systems identification based on multi-dimensional taylor network and variable forgetting factor recursive least squares algorithm

Nonlinear time-varying systems identification based on multi...

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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Zhang, Jiao-Jun Yan, Hong-Sen School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

A novel method for nonlinear time-varying systems identification based on multi-dimensional Taylor network and variable forgetting factor recursive least squares algorithm is proposed. In this paper, the connection weight coefficients of multi-dimensional Taylor network are regarded as time-varying parameters, which are trained by the variable forgetting factor recursive least squares algorithm, to reflect the input-output change of nonlinear time-varying systems. Simulation results show that the method proposed in this paper is valid.

关键词： Time varying networks

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Parameter-dependent H2state estimation for nonlinearl systems 34

Parameter-dependent H2state estimation for nonlinearl system...

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34th Chinese control Conference, CCC 2015

作者： Yu, Yin Li, Zhen Liu, Xiangdong Liu, Bing School of Automation Beijing Institute of Technology Beijing China Key Laboratory for Intelligent Control and Decision on Complex Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9789881563897

The state estimation of general nonlinear systems is investigated through a parameter-dependent approach. This paper adopts the polytopic approximation for the nonlinear systems, which facilitates the application of analytical approaches for resultant convex-bounded linear systems into the given nonlinear systems. The design of a high performance H2state estimator is firstly determined by solving a convex optimization problem constrained by relaxed linear matrix inequalities (LMIs). The tensor product (TP) model transformation is then adopted to obtain the polytopic linearization. Specifically, A new process is presented to correct the result of the TP model transformation such that a necessary condition to solve the state estimation problem is assured. Finally, a numerical simulation is performed to illustrate the design process and verify the performance. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： linear matrix inequalities (LMIs) Nonlinear state estimation parameter-dependent H2 filter tensor product (TP) model transformation

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The Robust Roll control Using only Synthetic Jet Actuators in High-Angle-of-Attack Flight

The Robust Roll Control Using only Synthetic Jet Actuators i...

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第三十四届中国控制会议

作者： LI Chunzhi Yang Jianying LIU Yifan State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781467374439

By taking NACA0015 airfoil as an example, we study synthetic jets' effect on the aerodynamic performance, then propose the ideas and concrete methods of using synthetic jet to flight roll control at high angle of attack, which replaces the traditional aileron completely. According to the influence by the peak velocity, frequency, layout position, exit angles of synthetic jets and the angle of attack on lift, the optimal parameter combination was obtained. Based on the optimal parameter combination we provided a scheme that uses peak velocity of synthetic jet as the input. We also designed a synthetic jet controller for flight roll control at high angle of attack, which adopts the Robust LQR method to realize the stability control of roll(57.3 deg) at high angle of attack(18 deg). The simulation shows that the proposed control method has good control performance, and it overcomes the difficulty of using traditional aileron for flight roll control at high angle of attack.

关键词： synthetic jet,roll control,high angle of attack

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The robust roll control using only synthetic jet actuators in high-angle-of-attack flight 34

The robust roll control using only synthetic jet actuators i...

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34th Chinese control Conference, CCC 2015

作者： Chunzhi, Li Jianying, Yang Yifan, Liu State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China

ISBN: (纸本)9789881563897

By taking NACA0015 airfoil as an example, we study synthetic jets' effect on the aerodynamic performance, then propose the ideas and concrete methods of using synthetic jet to flight roll control at high angle of attack, which replaces the traditional aileron completely. According to the influence by the peak velocity, frequency, layout position, exit angles of synthetic jets and the angle of attack on lift, the optimal parameter combination was obtained. Based on the optimal parameter combination we provided a scheme that uses peak velocity of synthetic jet as the input. We also designed a synthetic jet controller for flight roll control at high angle of attack, which adopts the Robust LQR method to realize the stability control of roll (57.3 deg) at high angle of attack (18 deg). The simulation shows that the proposed control method has good control performance, and it overcomes the difficulty of using traditional aileron for flight roll control at high angle of attack. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： high angle of attack roll control synthetic jet

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Integrated design of aerodynamics, structures, propulsion, and control based on the multidisciplinary optimization method 34

Integrated design of aerodynamics, structures, propulsion, a...

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34th Chinese control Conference, CCC 2015

作者： Xiaoqian, Wei Jianying, Yang State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China

ISBN: (纸本)9789881563897

This paper provides a new improved multidisciplinary optimization algorithm with better performance and discusses its application for aircraft synthetic design. The new iterative framework combines linear quadratic (LQ) optimal control method, structures, aerodynamics and propulsion to design synthetic optimal problem, which reduces redundant system analysis, avoids local optimization, and improves the traditional design method which separated aerodynamic design and control method. Using the method of diagonal convergence, improved algorithm can accelerate the convergence speed and ensure that the sensitivity matrix does not tend to be singular. The simulation shows that this new closed-loop integrated method can achieve stable flight optimization results. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Integrated Design LQ Optimal control Multidisciplinary Design optimization

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Integrated Design of Aerodynamics,Structures,Propulsion,and control Based on the Multidisciplinary optimization Method

Integrated Design of Aerodynamics,Structures,Propulsion,and ...

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第三十四届中国控制会议

作者： Wei Xiaoqian Yang Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781467374439

This paper provides a new improved multidisciplinary optimization algorithm with better performance and discusses its application for aircraft synthetic design. The new iterative framework combines linear quadratic(LQ) optimal control method,structures, aerodynamics and propulsion to design synthetic optimal problem, which reduces redundant system analysis, avoids local optimization, and improves the traditional design method which separated aerodynamic design and control method. Using the method of diagonal convergence, improved algorithm can accelerate the convergence speed and ensure that the sensitivity matrix does not tend to be singular. The simulation shows that this new closed-loop integrated method can achieve stable flight optimization results.

关键词： Multidisciplinary Design optimization,LQ Optimal control,Integrated Design

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Distributed average tracking for multiple nonlinear time-varying signals with output measurements 34

Distributed average tracking for multiple nonlinear time-var...

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第三十四届中国控制会议

作者： ZHAO Yu DUAN Zhisheng Liu Yongfang Department of Traffic and Control Engineering School of Automation Northwestern Polytechnical University State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University

ISBN: (纸本)9781467374439

This paper studies the distributed average tracking problem for multiple time-varying signals with nonlinear *** only on relative output measurements, a pair of continuous algorithms with, respectively, static and adaptive coupling strengths are designed and utilized. From the concept of boundary layer approach, the proposed continuous algorithm with static coupling strengths can asymptotically obtain the average value of the multiple reference signals without chattering ***, a simulation example is presented to show the validity of the theoretical results.

关键词： Distributed average tracking,nonlinear dynamics,output feedback,continuous algorithm

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A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems

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Science China Chemistry 2015年第12期58卷 143-157页

作者： WEI QingLai LIU DeRong State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

In this paper, a novel iterative Q-learning algorithm, called "policy iteration based deterministic Qlearning algorithm", is developed to solve the optimal control problems for discrete-time deterministic nonlinear systems. The idea is to use an iterative adaptive dynamic programming(ADP) technique to construct the iterative control law which optimizes the iterative Q function. When the optimal Q function is obtained, the optimal control law can be achieved by directly minimizing the optimal Q function, where the mathematical model of the system is not necessary. Convergence property is analyzed to show that the iterative Q function is monotonically non-increasing and converges to the solution of the optimality equation. It is also proven that any of the iterative control laws is a stable control law. Neural networks are employed to implement the policy iteration based deterministic Q-learning algorithm, by approximating the iterative Q function and the iterative control law, respectively. Finally, two simulation examples are presented to illustrate the performance of the developed algorithm.

关键词： adaptive critic designs adaptive dynamic programming approximate dynamic programming Q-learning policy iteration neural networks nonlinear systems optimal control

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Handwritten character recognition based on weighted integral image and probability model 8th

Handwritten character recognition based on weighted integral...

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8th International Conference on Image and Graphics, ICIG 2015

作者： Wu, Jia Da, Feipeng Wang, Chenxing Gai, Shaoyan College of Automation Southeast University Nanjing Jiangsu210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9783319219622

A system of the off-line handwritten character recognition based on weighted integral image and probability model is built in this paper, which is divided into image preprocessing and character recognition. The objects of recognition are digitals and letters. In the image preprocessing section, an adaptive binarization method based on weighted integral image is proposed, which overcomes the drawbacks in the classic binarization algorithms: noise sensitivity, edge coarseness, artifacts etc.;In the character recognition section, combined with statistical features and structural features, an probability model based on the Bayes classifier and the principle of similar shapes is developed. This method achieves a high recognition rate with rapid processing, strong anti-interference ability and fault tolerance. © Springer International Publishing Switzerland 2015.

关键词： Fault tolerance

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