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Chinese control Conference (CCC)

作者： Guangrong Chen Junzheng Wang Lipeng Wang Yudong He Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 China

Hydraulic biped robots have better mobility than conventional wheeled robots, and hydraulic actuator has some incomparable advantages, such as large torque and strong load capacity. In this paper, the biped structure of robot actuated by hydraulic system is designed to make it simulate human's action better. Meanwhile, for actuating the bipedal locomotion, the design and performance test of electro-hydraulic position servo system based on micro valve-controlled cylinder has been done. Then, the biped robot module can be taken as an inverted pendulum mathematical model to achieve all the gait planning, including starting gait, normal walking gait and stopping gait. Also, the stability of the gait and the feasibility of the gait planning are evaluated through ZMP principle. Finally, the virtual prototype model of biped robot is created to simulate the biped structure of robot and the planning gait, and the stability of walking and the effectiveness of the way of gait planning are verified very well.

关键词： Legged locomotion Planning Stability analysis Electronic mail Servomotors

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Differential Evolution Based Receding Horizon controlfor UAV Motion Planning in Dynamic Environments

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机器人 2013年第1期 107-114页

作者： ZHANG Xing BAI YongQiang XIN Bin CHEN Jie School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Decision and Cognitive Sciences Research Centre Manchester Business SchoolUniversity of Manchester

This paper presents online motion planning for UAV(unmanned aerial vehicle) in complex threat field,including both static threats and moving threats,which can be formulated as a dynamic constrained optimal control *** horizon control(RHC) based on differential evolution(DE) algorithm is adopted.A location-predicting model of moving threats is established to assess the value of threat that UAV faces in *** flyable paths can be generated by the control inputs which are optimized by DE under the guidance of the objective *** results demonstrate that the proposed method not only generates smooth and flyable paths,but also enables UAV to avoid threats efficiently and arrive at destination safely.

关键词： unmanned aerial vehicle motion planning receding horizon control differential evolution

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Design and development of vacuum pumping and liquid injection system

Design and development of vacuum pumping and liquid injectio...

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32nd Chinese control Conference, CCC 2013

作者： Shen, Wei Wang, Jun-Zheng Jing, Li Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9789881563835

The vacuum pumping and liquid injection system is designed to meet the requirement of liquid automatic injection in a closed chamber. It is made up of vacuum pumping subsystem, liquid injection subsystem and control subsystem. The whole system has a high quality in vacuum pumping and liquid injection in a closed chamber. By using hardware filtering and the flow signal processing method based on pulse duty cycle and duration comparison, the injected liquid volume can be measured accurately in various strong interference environments. In order to solve the problem of injection pressure cannot be exactly controlled sometime, the method of pressure feedback control based on PID algorithm is developed. Finally, the quality of liquid injection is improved greatly and the requirements of injection are met very well. © 2013 TCCT, CAA.

关键词： Signal processing

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Consensus of Multiple High-order Nonlinear systems with Uncertainty

Consensus of Multiple High-order Nonlinear Systems with Unce...

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第三十二届中国控制会议

作者： Jie Huang Jie Chen Hao Fang Lihua Dou Qingkai Yang School of Automation Beijing Institute of Technology Key Laboratory Intelligent Control and Decision of Complex System Fujian Institute of Education

ISBN: (纸本)9781479900305

This paper focuses on the consensus problem of a class of multiple high-order nonlinear systems with uncertainty under the fixed and undirected communication topology. The distributed virtual control functions of the multi-agent system are constructed by only using their local information in the recursive controller design procedure. A set of distributed cooperative consensus control laws is proposed through combining backstepping and adaptive control techniques. The asymptotic stability of the overall interconnected system is proved relying on Lyapunov stability analysis method. Furthermore, the proposed control scheme can be extended to apply to the condition when the communication graph is directed or time-varying. Finally, simulation is provided to verify the effectiveness of the control algorithms.

关键词： adaptive control, consensus control, backstepping, high-order nonlinear systems, uncertainty, multi-agent

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Modeling, optimization and control in ground-based digital weapon systems

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Zidonghua Xuebao/Acta Automatica Sinica 2013年第7期39卷 943-962页

作者： Chen, Jie Fang, Hao Xin, Bin Deng, Fang School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

An overview of the modeling, optimization and control issues regarding digital ground-based weapon systems is provided by reviewing the previous works along five research lines: 1) design and optimization of the architecture and hierarchy of complex integrated weapon systems;2) optimization and decision-making in integrated command and control;3) parameter identification and state estimation of multidimensional mobile targets;4) coordinative control of multiple autonomous platforms;and 5) modeling and control of nonlinear servo systems. The survey covers the command and control, the fire control and the platform control involved in ground-based weapon systems. Based on an introduction and analysis of current research status along the five lines, the paper also points out several significant topics which deserve further research in the future. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词： State estimation

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intelligent optimized control: overview and prospect

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Zidonghua Xuebao/Acta Automatica Sinica 2013年第11期39卷 1831-1848页

作者： Xin, Bin Chen, Jie Peng, Zhi-Hong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

A literature review regarding intelligent optimized control (IOC) is provided along the branches including fuzzy optimized control, neural optimized control, fuzzy-neural optimized control, intelligent optimizers based optimized control and so on. Accordingly, concepts which are closely related to IOC are analyzed in depth. Also, a classification of IOC methods is presented. Finally, several important issues about IOC are discussed and the development of IOC in future is predicted. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词： Software engineering

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Ballistic method based on improved particle swarm optimization algorithm

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Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) 2013年第SUPPL.I期43卷 215-218页

作者： Cui, Jing Deng, Fang Fang, Hao School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology Beijing 100081 China

In order to improve real-time performance of the fire control system, a ballistic resolving method based on the improved particle swarm optimization (PSO) algorithm is proposed, which improves the response speed of the system and provides a convenient extension to parallel computing on multicore platforms. First, particles are generated and initialized around the pre-estimated aiming angle. Then each particle is evaluated by an objective function composed of the ballistic differential equation etc. Finally, the position and velocity of particle swarm are updated. In order to accelerate the convergence speed, the correction angle of the global best particle obtained by Zhou's iterative and correction formula is used to guide the update of particle swarm. Experimental results show that the calculation speed is twice that of the iterative and correction method, and the convergence speed of particle swarm is 1.5 times that of the conventional PSO algorithm. Moreover, the proposed method is fully compatible with parallel computing and can further shorten execution time on multicore platforms.

关键词： Ballistics

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Adaptive robust control for electric linear actuator using modified LuGre model with fast load-based parameter estimation

Adaptive robust control for electric linear actuator using m...

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Chinese control Conference (CCC)

作者： Renjian Hao Junzheng Wang Jiangbo Zhao Key laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing P. R. China

This paper addresses the position tracking control problem of electric linear actuator in the presence of nonlinearities due to its transmission process. A torque decoupling approach for electric linear actuator is proposed to achieve respective compensation. To improve the speed of time varying parameters estimating, a load-based adaption law is proposed by designing a new projection mapping which has both variable bounds and good robust performance. An adaptive robust controller is designed such that it combines decoupled torque and dead-zone compensation to preserve robustness to both parametric and nonparametric uncertainties. The modified LuGre model is used for friction compensation making a continuous transition from static model. A Lyapunov stability analysis demonstrates that all signals including tracking errors have guaranteed convergent and bounded performance. The co-simulation results show the effectiveness and the achievable control performance of the proposed control strategy with sinusoidal and point-to-point tracking experiments.

关键词： Friction Torque Load modeling Force Mathematical model Robustness Actuators

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Differential Evolution Based Receding Horizon control for UAV Motion Planning in Dynamic Environments

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机器人 2013年第1期35卷 107-114页

作者： ZHANG Xing 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 Decision and Cognitive Sciences Research Centre Manchester Business School University of Manchester Manchester M15 6PB UK

关键词：无人机在线运动规划动态约束目标函数

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controlling mobile Spykee robot using Emotiv Neuro headset

Controlling mobile Spykee robot using Emotiv Neuro headset

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32nd Chinese control Conference, CCC 2013

作者： Grude, Simon Freeland, Matthew Yang, Chenguang Ma, Hongbin School of Computing and Mathematics University of Plymouth Plymouth PL4 8AA United Kingdom Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing 100081 China

ISBN: (纸本)9789881563835

This paper investigates controlling the commercialized Spykee mobile robot, using only brain electroencephalography (EEG) signals transmitted by the Emotiv Epoc Neuro Headset. The Spykee robot is equipped with a wireless communication protocol to control it. Both visualization and motor control methods have been carried out and analyzed in order to control the robot with accuracy. All the fourteen channels on the Emotiv headset have been utilized and the pattern recognition has been done by the echo state network (ESN). Four different actions (moving forward/backward and turning left/right) have been achieved to control the robot reaching an arbitrary target on the floor. © 2013 TCCT, CAA.

关键词： Electroencephalography

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