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2015 International Conference on Fluid Power and Mechatronics

作者： Chengyu Yao Xueyun Tan Dongning Chen Shijun Lv Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University

In view of the particle swarm optimization(PSO) algorithm's shortages of easily trapping into local optimum and premature convergence, an improvement research from the perspective of interaction mechanism among particles is made in this paper. Consider advantages and disadvantages of the current improved PSO algorithms from the aspect of force, the two-stage force particle swarm optimization(TFPSO) algorithm is proposed. The proposed algorithm, which employs staged search strategy to achieve a trade-off between global exploration and local exploitation abilities, divides search process into two stages and constructs corresponding force rules combining with the idea of attractive and repulsive forces in artificial physics. In order to demonstrate the performance of the proposed algorithm in solving optimization problems, TFPSO algorithm is compared with some well-known PSO algorithms in reliability optimization for hydraulic system. Comparison results show that TFPSO algorithm obtains the best optimization results and enhances the performance of PSO in terms of accuracy of the optimal solution and local search ability.

关键词： PSO algorithm force rule TFPSO algorithm reliability optimization hydraulic system

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Fuzzy PID control of Space Manipulator for Both Ground Alignment and Space Applications

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International Journal of Automation and computing 2014年第4期11卷 353-360页

作者： Fu-Cai Liu Li-Huan Liang Juan-Juan Gao Key Lab of Industrial Computer Control of Hebei Province Yanshan University

Considering gravity change from ground alignment to space applications, a fuzzy proportional-integral-differential(PID)control strategy is proposed to make the space manipulator track the desired trajectories in different gravity environments. The fuzzy PID controller is developed by combining the fuzzy approach with the PID control method, and the parameters of the PID controller can be adjusted on line based on the ability of the fuzzy controller. Simulations using the dynamic model of the space manipulator have shown the effectiveness of the algorithm in the trajectory tracking problem. Compared with the results of conventional PID control,the control performance of the fuzzy PID is more effective for manipulator trajectory control.

关键词： Space manipulator trajectory tracking ground alignment space applications fuzzy proportional-integral-differential (PID) gravity environment

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Two-stage force particle swarm optimization algorithm and application in hydraulic system reliability optimization

Two-stage force particle swarm optimization algorithm and ap...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Chengyu Yao Xueyun Tan Dongning Chen Shijun Lv Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781479987719

In view of the particle swarm optimization (PSO) algorithm's shortages of easily trapping into local optimum and premature convergence, an improvement research from the perspective of interaction mechanism among particles is made in this paper. Consider advantages and disadvantages of the current improved PSO algorithms from the aspect of force, the two-stage force particle swarm optimization (TFPSO) algorithm is proposed. The proposed algorithm, which employs staged search strategy to achieve a trade-off between global exploration and local exploitation abilities, divides search process into two stages and constructs corresponding force rules combining with the idea of attractive and repulsive forces in artificial physics. In order to demonstrate the performance of the proposed algorithm in solving optimization problems, TFPSO algorithm is compared with some well-known PSO algorithms in reliability optimization for hydraulic system. Comparison results show that TFPSO algorithm obtains the best optimization results and enhances the performance of PSO in terms of accuracy of the optimal solution and local search ability.

关键词： Force Reliability Optimization Particle swarm optimization Hydraulic systems Convergence Fault trees

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Fuzzy dynamic output-feedback control for markov jump fuzzy bilinear system

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ICIC Express Letters, Part B: Applications 2015年第10期6卷 2883-2890页

作者： Chang, Ru Fang, Yiming Liu, Le Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling No. 438 Hebei Ave QinhuangdaoP.R China

Fuzzy dynamic output-feedback control problem is investigated for a class of fuzzy bilinear systems with Markovian jumping parameters. The transition probability matrix is assumed to be partly unknown. Based on Takagi-Sugeno (T-S) fuzzy bilinear model, a nonlinear dynamic output-feedback controller is first constructed, and in terms of linear matrix inequalities techniques, the sufficient conditions on the stochastic stability of the closed-loop fuzzy bilinear jump system are presented and proved. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. ©, 2015 ICIC Express Letters *** Rights Reserved.

关键词： Fuzzy control

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Disturbance observer based robust backstepping control for electro-hydraulic servo system

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ICIC Express Letters 2015年第9期9卷 2467-2473页

作者： Shi, Shengli Li, Jianxiong Fang, Yiming Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University No. 438 Hebei Avenue Qinhuangdao China College of Science Yanshan University No. 438 Hebei Avenue Qinhuangdao China

The position tracking control scheme is investigated in this paper for electrohydraulic servo system with parameter uncertainties, external disturbances and actuator saturation. Disturbance observer is employed to estimate the compound disturbance, and robust backstepping control law based on the disturbance observer is designed to ensure the system output tracks the reference signal. A second-order integral filter is proposed to avoid the repetitive differentiation of the virtual control. The robustness of the controller is guaranteed by robust items, and the tracking performance can be achieved by the proposed method. Simulation results are presented to verify that the control strategy can realize good position tracking. © ICIC International 2015.

关键词： Tracking (position)

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control of epileptiform spikes based on nonlinear unscented Kalman filter

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Chinese Physics B 2014年第1期23卷 41-48页

作者：刘仙高庆李小俚 Key Lab of lndustrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China

A new control strategy based on nonlinear unscented Kalman filter(UKF) is proposed for a neural mass model that serves as a model for simulating real epileptiform stereo-electroencephalographic (SEEG) signals. The UKF is used as an observer to estimate the state from the noisy measurement because it has been proved to be effective for state estimation of nonlinear systems. A UKF controller is constructed via the estimated state and is illustrated to be effective for epileptiform spikes suppression of aforementioned model by numerical simulations.

关键词： unscented Kalman filter(UKF) control epileptiform spike closed-loop control neural mass model

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Hopf bifurcation control for a coupled nonlinear relative rotation system with time-delay feedbacks

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Chinese Physics B 2014年第10期23卷 299-305页

作者：刘爽李雪谈书贤李海滨 Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University

This paper investigates the Hopf bifurcations resulting from time delay in a coupled relative-rotation system with time- delay feedbacks. Firstly, considering external excitation, the dynamical equation of relative rotation nonlinear dynamical system with primary resonance and 1：1 internal resonance under time-delay feedbacks is deduced. Secondly, the averaging equation is obtained by the multiple scales method. The periodic solution in a closed form is presented by a perturbation approach. At last, numerical simulations confirm that time-delay theoretical analyses have influence on the Hopf bifurcation point and the stability of periodic solution.

关键词： relative rotation coupled nonlinear system bifurcation time delay

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Bifurcation and chaos analysis of a nonlinear electromechanical coupling relative rotation system

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Chinese Physics B 2014年第9期23卷 271-277页

作者：刘爽赵双双孙宝平张文明 Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University

Hopf bifurcation and chaos of a nonlinear electromechanical coupling relative rotation system are studied in this paper. Considering the energy in air-gap field of AC motor, the dynamical equation of nonlinear electromechanical coupling relative rotation system is deduced by using the dissipation Lagrange equation. Choosing the electromagnetic stiffness as a bifurcation parameter, the necessary and sufficient conditions of Hopf bifurcation are given, and the bifurcation characteristics are studied. The mechanism and conditions of system parameters for chaotic motions are investigated rigorously based on the Silnikov method, and the homoclinic orbit is found by using the undetermined coefficient method. Therefore, Smale horseshoe chaos occurs when electromagnetic stiffness changes. Numerical simulations are also given, which confirm the analytical results.

关键词： relative rotation electromechanical coupling Hopf bifurcation chaos

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Finite-time neural network adaptive control of under-actuated robots 4

Finite-time neural network adaptive control of under-actuate...

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2014 4th International Conference on Mechanical engineering, Industry and Manufacturing engineering, MEIME 2014

作者： Wu, Zhong Qiang Liu, Li Ling Zhao, Li Ru Key lab of industrial computer control engineering of Hebei province Yanshan University China

ISBN: (纸本)9783038353256

The finite-time neural network adaptive control of under-actuated robot is investigated, and a kind of multistep control strategy is used. First the transformation of dynamics model is made, and the passive joints are driven to desire positions by the coupling among joints, then the passive joints are locked. When the passive joints are locked to other operating point, the system becomes the one with structure uncertain. Combining the theory of finite-time control with neural network adaptive control, a finite-time neural network adaptive controller is got which can make the position tracking of joint rapidly. The simulation shows the effectiveness of the controller. © (2014) Trans Tech Publications, Switzerland.

关键词： Robots

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Energy-efficient barrier coverage in bistatic radar sensor networks

Energy-efficient barrier coverage in bistatic radar sensor n...

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IEEE International Conference on Communications (ICC)

作者： Ruiqi Wang Shibo He Jiming Chen Zhiguo Shi Fen Hou State Key Lab. of Industrial Control Technology Zhejiang University China Department of Electrical and Computer Engineering University of Macau Macau

ISBN: (纸本)9781467364300

By taking advantage of active radio waves, radar sensors can provide high-accuracy target detection over traditional passive sensors. In this paper, we study barrier coverage in bistatic radar sensor networks (BRSNs), which consist of a set of transmitter radars and receiver radars. Barrier coverage in BRSNs is much more difficult than that in traditional sensor networks as the sensing area of a bistatic radar depends on the positions of both transmitter and receiver, and is typically a Cassini oval. Moreover, different transmitters and receivers can pair with each other by choosing the same frequency and thus the sensing network topology can be quite different in different time slots. To tackle this challenge, we first investigate the characteristic of the ε-covered area of a bistatic radar, then we represent a bistatic radar with a virtual point at the middle point of the line segment formed by the transmitter and receiver. With these representations, we formulate the barrier coverage problem in BRSNs as (k, ε)-Minimum Weight Barrier Coverage Problem ((k, ε)-MWBCP). By constructing a directed coverage graph, we transform the (k, ε)-MWBCP into finding k node-disjoint shortest paths and propose an energy-efficient algorithm called (k, ε)-MWBCA to solve the problem within polynomial time. Extensive simulations are conducted to demonstrate the performance of our proposed algorithm.

关键词： Bistatic radar Receivers Belts Signal to noise ratio Radio transmitters

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