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Chinese control Conference (CCC)

作者： Jun-Cheng Zhao Yi-Ming Fang Jian-Xiong Li Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii function and using linear matrix inequality (LMI) method, the algorithm can convert the infinite time domain optimization problems into linear programming problems. Sufficient conditions of the existence and explicit expression for the memory state feedback controller are obtained, and the control input can satisfy constraint as well. Asymptotical stability of the closed-loop system and minimum of robust performance index can be guaranteed simultaneously. Finally, the simulation results illustrate the effectiveness of the proposed algorithm.

关键词： Robustness Predictive control Predictive models Delay Mathematical model State feedback Prediction algorithms

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Robust adaptive control for hydraulic servo position system with unmatched uncertainties

Robust adaptive control for hydraulic servo position system ...

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Chinese control Conference (CCC)

作者： Ru Chang Yi-Ming Fang Zhi-Jie Wang Hai-Bo Tian Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

To deal with the problems caused by unmatched uncertainties and external load disturbance exist in mill hydraulic servo position system, a robust adaptive controller design method is presented in this paper. The controller is composed of a state feedback controller and an adaptive compensator, the state feedback controller is obtained by solving a Riccati equation, and the compensator is obtained by estimating the upper bounds of the unknown external disturbances. It is proved that the global asymptotic stability of the resulting closed-loop system can be guaranteed. Finally, simulation results for the mill hydraulic servo position system illustrate the validity of the proposed algorithm.

关键词： Robustness Servomotors Backstepping Adaptive control Uncertainty

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Robust stabilization of nonlinear uncertain systems by dynamic output feedback

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ICIC Express Letters 2011年第7期5卷 2293-2298页

作者： Li, Jianxiong Fang, Yiming Shi, Shengli Chang, Ru Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University No. 438 Hebei Street Qinhuangdao 066004 China

This paper proposes a constructive way to design dynamic output feedback control law to stabilize a class of nonlinear systems with unknown control coefficients. The unknown parameters are described in polytopic forms, and control parameter matrices of the dynamic controller are obtained by solving series of linear matrix inequalities in sequence. It is shown that the robust asymptotic stability of closed-loop system can be guaranteed by the proposed method. Finally, a numerical example illustrates the effectiveness of the proposed algorithm. © 2011.

关键词： Nonlinear systems

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Bearing Condition Monitoring and Fault Diagnosis of a Wind Turbine Using Parameter Free Detection

Bearing Condition Monitoring and Fault Diagnosis of a Wind T...

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The 2011 International Conference on Electric and Electronics(EEIC 2011)

作者： Shenggang Yang Xiaoli Li Ming Liang Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Department of Mechanical Engineering University of Ottawa

The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative part of preventive maintenance procedures in a wind turbine. This paper presents a free parameter approach to implement bearing condition monitoring and fault diagnosis. This approach extracts the amplitude and frequency modulations of faulty vibration signals that measured from a wind turbine system. The amplitude demodulation is inherent, and the fault frequency will be detected from the spectrums of the signal. The effectiveness of this approach has been validated by using simulated signal and experimental evaluation.

关键词： Bearing Condition Monitoring Fault Detection Wind turbine

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A multi-sensor data fusion method based on the set-pair identity degree and connection number

A multi-sensor data fusion method based on the set-pair iden...

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International Workshop on Digital Media and Digital Content Management, DMDCM 2011

作者： Jiang, Yun-Liang Yang, Zhang-Xian Li, Gang Liu, Yong Shen, Qing School of Computer Science HangZhou Dianzi University Zhejiang Hangzhou 310018 China School of Information Engineering Huzhou Teachers College Zhejiang Huzhou 313000 China State Key Laboratory of Industrial Control Technology Zhejiang University Zhejiang Hangzhou 310027 China

ISBN: (纸本)9780769544137

To solve the difficulty of determining the reliability of each sensor and fusing data measured by different sensors, a multi-sensor data fusion method based on the set-pair identity degree function and connection number is proposed. The mutual supportability of multiple sensors is obtained from the identity degree function. Then the identity degree of observation data and sensor characteristic function is computed. Finally, the supposed fusion result of the object attribute from the multiple sensors could be produced on the minimum maximum basis. This method needn't assume that the sensor characteristic function obeys Guass distribution. The simulation experiment shows that it can identify the target objectively. Thus it is a new method for multi-sensor data fusion. © 2011 IEEE.

关键词： Sensor data fusion

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Speed sensorless control for wind turbine systems based on Hamiltonian model observer

Speed sensorless control for wind turbine systems based on H...

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作者： Ren, Li-Na Liu, Fu-Cai Jiao, Xiao-Hong Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9789881725592

Aimed at the rotor speed unmeasured, this paper presents a speed sensorless control strategy with observer for permanent magnet wind turbine generator based on port-controlled Hamiltonian (PCH) model. The PCH model is established by taking full advantage of the physics structure of wind turbine system and then the full-order observer is proposed based the PCH model to estimate rotor speed. This structure of controller is simple but also reflecting physical meaning. Moreover, an adaptive controller is investigated under the uncertain parameters and the external disturbance. The proposed strategy is proved valid by the simulation illustration. © 2011 Chinese Assoc of Automati.

关键词： Permanent magnets

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Robust adaptive control for hydraulic servo position system with unmatched uncertainties

Robust adaptive control for hydraulic servo position system ...

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作者： Chang, Ru Fang, Yi-Ming Wang, Zhi-Jie Tian, Hai-Bo Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9789881725592

关键词： Closed loop systems

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Robust predictive control for a class of uncertain discrete system with multiple state delays

Robust predictive control for a class of uncertain discrete ...

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作者： Zhao, Jun-Cheng Fang, Yi-Ming Li, Jian-Xiong Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9789881725592

关键词： Linear matrix inequalities

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NN/RISE-based asymptotic tracking control of uncertain nonlinear systems

NN/RISE-based asymptotic tracking control of uncertain nonli...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Qinmin Yang S. Jagannathan Youxian Sun State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.

关键词： Artificial neural networks Approximation methods Asymptotic stability Nonlinear systems Trajectory Stability analysis Robustness

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Fault search based on grey fuzzy multi-attribute decision-making

Fault search based on grey fuzzy multi-attribute decision-ma...

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International Conference on Fluid Power and Mechatronics (FPM)

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

In order to overcome the characteristics of uncertainty and incomplete information of fault attribute in searching for fault, a new fault search method based on the fault tree and grey fuzzy multi-attribute decision-making is proposed in this paper. Firstly, utilizing fault tree analysis (FTA) method to determine the initial fault alternative, fault probability and search cost of the fault alternative are considered as fault attributes simultaneously, the attribute value of fault alternative is described as grey fuzzy numbers, calculating the attribute weight by the information entropy method. Then, the grey relational grade between the fault alternative and the ideal alternative is calculated base on grey relational analysis method, and relative closeness of fault alternative is achieved. Finally, according to the relative closeness determine the search order of all fault alternatives. An engineering example of the hydraulic suspension system of a certain type truck is adopted to demonstrate the feasibility and accuracy of the proposed method.

关键词： Decision making Fault trees Suspensions Search methods Pragmatics Fault diagnosis Manganese

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