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第三十三届中国控制会议

作者： WANG Chenyi GAN Minggang QIAO Zhi School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781479947249

Considering the uncertainties parameters and unknown dynamics of permanent-magnet synchronous motors in real applications,a composite controller strategy for electromechanical actuator is proposed in this *** composite strategy consists of a disturbances observer based on linear extended state observer that suppresses disturbances by feedforward compensation and a Lyapunov stability-based position controller.A non-singular terminal sliding mode position controller is used here due to its good performance,under which state errors would converge to zero in finite ***,special forms of load torque,hinge moment,and sinusoidal torque disturbances have been taken into consideration in this *** proposed control strategy is verified via *** performance with respect to position tracking and robustness to load disturbances and parametric uncertainties of the motor have been demonstrated.

关键词： Electromechanical Actuator,PMSM,Non-Singular Terminal Sliding Mode,Extended State Observer,hinge moment

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The Forecasting Research on the Model of the Hysteresis Brake based on Elman Multi-Hidden Layers Neural Network Algorithm with the Speed and Directional Factor 35

The Forecasting Research on the Model of the Hysteresis Brak...

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第35届中国控制会议

作者： ZHANG Bo SHEN Wei WANG Junzheng Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

Hysteresis brake,which provides for step-less torque and high speed,is a stable and reliable device used for loading,but with some problems,such as the large time-lag,strong nonlinearity,and difficulty in modeling et *** to the above-mentioned issues,the special working conditions of hysteresis brake developed by our project team and the advantage of the dynamical performance of the Elman Multi-Hidden Layers Neural Network,this paper employs modified neural network algorithm with Elman dynamic recursive structure to accomplish the model of hysteresis brake,and guarantees the accuracy of output loaded *** this algorithm,we introduce the speed,the given and desired torque,and a directivity factor respectively as a disturbance variable and two input vectors of the system,and then train the model and *** numerical results validate the effectiveness of the algorithm proposed.

关键词： Hysteresis brake strong nonlinearity neural network algorithm with Elman dynamic recursive structure

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Evolutionary decision-makings for the dynamic weapon-target assignment problem

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Science in China(Series F) 2009年第11期52卷 2006-2018页

作者： CHEN Jie1,2, XIN Bin1,2, PENG ZhiHong1,2, DOU LiHua1,2 & ZHANG Juan1,2 1 School of Automation, Beijing Institute of Technology, Beijing 100081, China 2 key laboratory of complex system intelligent control and decision, Ministry of Education, Beijing 100081, China School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

The dynamic weapon-target assignment （DWTA） problem is an important issue in the field of military command and control. An asset-based DWTA optimization model was proposed with four kinds of constraints considered, including capability constraints, strategy constraints, resource constraints and engagement feasibility constraints. A general ＂virtual＂ representation of decisions was presented to facilitate the generation of feasible decisions. The representation is in essence the permutation of all assignment pairs. A construction procedure converts the permutations into real feasible decisions. In order to solve this problem, three evolutionary decision-making algorithms, including a genetic algorithm and two memetic algorithms, were developed. Experimental results show that the memetic algorithm based on greedy local search can generate obviously better DWTA decisions, especially for large-scale problems, than the genetic algorithm and the memetic algorithm based on steepest local search.

关键词： decision-making dynamic weapon-target assignment （DWTA） military command and control evolutionary computation memetic algorithms constraints handling

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A Novel Link Scheduling for Special Re-use TDMA on Ad Hoc Networks 33

A Novel Link Scheduling for Special Re-use TDMA on Ad Hoc Ne...

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第三十三届中国控制会议

作者： Li Weijie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781479947249

Special Re-use TDMA(STDMA) emerges as a promising channel access technique for providing Quality of Service(QoS) guarantees in multi-hop ad Hoc networks such as community mesh and sensor networks. The contention-free channel access combined with special reuse of the channel provides significant benefits in the energy/throughput trade-off. However, the protocol may introduce scheduling delay if, on the same path, an outbound link on a router is scheduled to transmit before an inbound link on that router. The total scheduling delay can be quite large since it accumulates at every hop on a path. This paper presents a method to solve this problem to improve the performance of the network system. Compared to the origin STDMA protocol, simulation results present us the superior performance of the proposed algorithm.

关键词： STDMA,multi-hop ad Hoc networks,scheduling delay

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Adaptive Optimal control Based on Parameter Estimation for Servomechanisms

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IFAC-PapersOnLine 2017年第1期50卷 7064-7069页

作者： Zhang C. Gan M. Chen J. Chen C. Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

In this paper, an adaptive optimal control scheme based on parameter estimation is proposed for optimal control problem of servomechanisms with unknown parameters. Parameters of the servomechanism dynamics are identified online first. Based on parameter estimation, the optimal control policy is achieved through adaptive dynamic *** estimation removes an approximation structure from the original method. Therefore the number of unknown weights in approximation structures, to be calculated, is reduced. The analysis for convergence is presented to prove the validity. Finally, simulation results demonstrate that the scheme can approximate the optimal control policy rapidly and effectively. © 2017

关键词： adaptive dynamic programming optimal control,parameter estimation servomechanism

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Backstepping sliding mode control for Mars Entry with finite time convergence 36

Backstepping sliding mode control for Mars Entry with finite...

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第36届中国控制会议

作者： Ganghui Shen Yuanqing Xia Dailiang Ma Jinhui Zhang Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781538629185

There are usually large uncertainties in the aerodynamic parameters of Mars entry vehicles,which inevitably degrades the performance of entry guidance *** paper presents a backstepping sliding mode controller for drag tracking in Mars entry guidance,which can guarantee the tracking error with finite-time ***,the drag can track the reference trajectory under the virtual control law by introducing a sliding manifold,and the extended state observer（ESO） is used to estimate and counteract the ***,the finite-time convergence of drag tracking error can be achieved under the proposed backstepping sliding mode guidance *** addition,the rigorous proof of tracking error convergence is ***,numerical simulation results are presented to demonstrate the effectiveness of the proposed guidance law.

关键词： Backstepping Sliding mode control Finite time Mars entry

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Multi-delay network based IEEE 802.15.4 for low delay deterministic networked control systems 36

Multi-delay network based IEEE 802.15.4 for low delay determ...

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第36届中国控制会议

作者： Aopeng Song Yuanqing Xia Yufeng Zhan Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781538629185

Wireless networked control systems have gained significant popularity due to commissioning and maintenance *** 802.15.4 standard is one of wireless communication protocol for low delay deterministic *** automation,not only needs low delay but also requires the network that should has the capacity of various delay *** this paper,we propose a scheme,satisfying the muli-delay network in the networked control *** are using TI SmartRF04 EB evaluation boards with CC2530 SoC and TIMAC software stack CC2530 boards,as well as dc servo motors for a speed tracking control problem.

关键词： wireless communication IEEE 802.15.4 control system multi-delay

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Fractional-Order Impedance control for a Wheel-Legged Robot 29

Fractional-Order Impedance Control for a Wheel-Legged Robot

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第29届中国控制与决策会议

作者： Yinghui Chen Jiangbo Zhao Junzheng Wang Duoyang Li Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509046584

To make robots walk smoothly and stably,it is necessary to solve ground impacts during dynamic *** motion control can help to reduce the impacts and improve the robot's adaptability to complex *** control is a useful framework to provide robot's leg *** conventional impedance control employs second-order mass-damping-spring system as a force disturbance *** this paper,position-based impedance control is applied to legged locomotion of the wheel-legged robot and a novel impedance controller with fractional order form is put forward to increase the system degrees of freedom for *** simulation tests of electric cylinder actuator and leg systems are carried out to demonstrate the effectiveness of the proposed algorithm.

关键词： wheel-legged robot legged locomotion impedance control fractional-order

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Sliding Mode control Using linear extended state observer(LESO) and Hysteresis Compensator based on Bouc-Wen model in Sinusoidal Position control of a Piezoelectric Actuator 33

Sliding Mode Control Using linear extended state observer(LE...

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第三十三届中国控制会议

作者： QIAO zhi GAN minggang WANG chenyi School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781479947249

In this paper,a sliding mode control using LESO coupled with an inverse hysteresis compensator is proposed for the motion tracking control of a microposition system with piezoelectric actuator(PEA).The inverse hysteresis compensator is involved in eliminating the hysteresis nonlinearity reducing the nonlinear system to a linear ***,a sliding mode controller combining with LESO is adopted to handle all the unmodeled dynamics and disturbances,with an intention of improving and enhancing the dynamic performance and the robustness of *** feasibility of the proposed control scheme is verified by experiment of a *** result shows that when faced with a fast-rate control input,the proposed method can also ensure the system a good performance.

关键词： Bouc-Wen Model,Hysteresis Compensator,Sliding Mode control,Linear Extended State Observer

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Learning to Win in Evolutionary Two-person Boolean Game with Fixed Strategy Updating Rule

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IFAC-PapersOnLine 2015年第28期48卷 520-525页

作者： WANG, Dong Hongbin, M.A. Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Canada

This paper introduces an algorithm to learn the strategy updating rule for a two- person Boolean game using the records of the history strategies and game results. The two-person game in this paper is introduced as a zero-sum game along with a Boolean strategy set, and the strategies are governed by fixed Boolean functions whose arguments are the history strategies and game results with additive binary noise, which can be modeled as a stochastic Boolean dynamic system. However, for this easy-to-play game, there is no effective convenient methods to win more often. To achieve this goal, a learning algorithm based on Boolean regression and maximum-likelihood estimation is put forward to learn the strategy updating rule and the noise property using the records of the history strategies and game results. In addition, extensive simulations via actual examples have illustrated the effectiveness of the proposed learning algorithm. © 2015

关键词： Learning algorithms Identification (control systems) Maximum likelihood estimation Parameter estimation Stochastic systems Boolean dynamics Boolean games Extensive simulations Fixed strategy Learning Noise properties Strategy updating Two person game

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