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19th International Conference on Electrical Machines, ICEM 2010

作者： Wang, Zhenchun Li, Huiguang Wen, Yintang Zhan, Zaiji Peng, Xiaoting Wang, Wenkui Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University QinHuangdao 066004 China School of Science and Technology Yanshan Unversity QinHuangdao 066004 China

ISBN: (纸本)9781424441754

For characterizing the series augmented railgun launching process, the study from analysis of muzzle voltage was insufficient since armature velocity, resistance and voltage drop of armature were also important to the launching process. In the present work, the variations of armature velocity, total resistance and voltage drop of armature against time were investigated based on the data of B-dot probes (to measure position of armature), Rogowsky coil (to monitor current) and high voltage probes (to observe muzzle voltage). Results indicated that, the voltage drop of armature and total resistance showed roughly the same trend as the change of velocity. There were obvious stages observed in two-turn series augmented railgun launching process. ©2010 IEEE.

关键词： Rail guns

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An improved method for MRAC system of indirectly designed

An improved method for MRAC system of indirectly designed

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2012 International Conference on Cybernetics and Informatics, ICCI 2012

作者： Huishan, Han Yan, Liu Defang, Cheng Xue, Gao Xingtai Polytechnic College Xingtai054000 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

Based on Lyapunov stability theorem, a MRAC system was researched to solve that differential value of plant output is unknown. Meanwhile an improved design for MRAC system aimed on the factor of restricting convergence of system is given. The method not only solves the problem that makes the system cannot work well as a result of the adjustable parameters, but also improves the convergence of plant. The simulation graphs have shown that the plant can follow the output of the reference model quit well. © Springer Science+Business Media New York 2014.

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Bearing fault diagnosis of a wind turbine using maximum likelihood detection

Bearing fault diagnosis of a wind turbine using maximum like...

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2011 International Conference on Electronic and Mechanical engineering and Information Technology, EMEIT 2011

作者： Yang, Shenggang Li, Xiaoli Liang, Ming Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao China Department of Mechanical Engineering University of Ottawa 770 King Edward Avenue Ottawa ON Canada

ISBN: (纸本)9781612840857

Bearings are the most frequently used components in a wind turbine. As such, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Maximum likelihood method to implement bearing fault diagnosis. This set extracts the amplitude and frequency modulations of the vibration signals measure from a wind turbine system. As the amplitude demodulation is inherent in this set, the fault frequency can be detected from the spectrum of the transformed signal. The effectiveness of this method has been validated by using simulated signal and experimental data. © 2011 IEEE.

关键词： Wind turbines

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Hierarchical Energy Management Strategy of Hybrid Electric Truck Fleet under Connected Environment 43

Hierarchical Energy Management Strategy of Hybrid Electric T...

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43rd Chinese control Conference, CCC 2024

作者： Lu, Qizhe Tang, Wenbin Pang, Zitong Zhang, Yahui Jiao, Xiaohong Yanshan University School of Electrical Engineering Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China Yanshan University School of Mechanical Engineering Qinhuangdao066004 China

ISBN: (纸本)9789887581581

Considering the slow-moving and energy-consuming issues that tend to occur when truck fleets drive, this paper proposes a hierarchical energy management strategy (EMS) for the hybrid electrical truck (HET) fleet, including speed planning and energy management. The speed threshold range that allows the whole fleet to pass through the traffic light is computed in the upper-layer speed planning. Within the model predictive control framework, a multi-objective optimization function is constructed for speed planning to find the optimum solution. In the lower-layer energy management, an offline model is established for power allocation between the Integrated Starter Generator and the Electric Motor and gear shift selection of automated manual transmission to reduce the dimensionality of the control variables. Then, an adaptive equivalent consumption minimum strategy (A-ECMS) is designed based on the fleet's optimal speed provided. In the offline part, the transformation relationship between the co-state and equivalence factor is established based on Pontryagin's minimum principle (PMP), and PMP obtains the globally optimal control sequence in the historical driving cycle to train a back-propagation neural network (BPNN). The BPNN model predicts the current optimal co-state in the online part, transformed into a real-time optimal equivalence factor to guide the A-ECMS online application. The simulation results indicate that the fuel economy of the proposed EMS is comparable to that of the global optimization method PMP and superior to that of Fixed EF-ECMS and PI-ECMS. Additionally, it enables the HET fleet to pass through traffic lights without stopping, thereby ensuring queue continuity and improving the passage efficiency of the fleet. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Predictive control systems

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Parameter estimation and control for a neural mass model based on the unscented Kalman filter

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Physical Review E 2013年第4期88卷 042905-042905页

作者： Xian Liu Qing Gao Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China

Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalman filters (UKFs) to observe states and estimate parameters in a neural mass model that can simulate distinct rhythms in electroencephalography (EEG) including dynamical evolution during epilepsy seizures. We demonstrate the efficiency of the UKF in estimating states and parameters. We also develop an UKF-based control strategy to modulate the dynamics of the neural mass model. In this strategy the UKF plays the role of observing states, and the control law is constructed via the estimated states. We demonstrate the feasibility of using such a strategy to suppress epileptiform spikes in the neural mass model.

关键词： PARAMETER estimation MATHEMATICAL models ELECTROENCEPHALOGRAPHY KALMAN filtering EPILEPSY NONLINEAR systems

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Research and application of flatness control for tandem cold rolling 37

Research and application of flatness control for tandem cold...

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37th Chinese control Conference, CCC 2018

作者： Xiaogang, Li Yiming, Fang Le, Liu Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao066004 China

ISBN: (纸本)9789881563941

Compound wave defect occurs in flatness during tandem cold rolling when high-end automobile and household appliance plate are produced, which has several impact on line speed and quality of final product. In this paper, a further research is done on sourcing cause of formation for the flatness defect. In combination with adjusting actuators and automatic flatness control principles, Achieving target flatness by rolls tilting, work rolls bending, middle rolls bending, and section cooling control. Adjustment control output of tilting, work rolls and middle rolls bending are calculated by the least square method. Section cooling control output of rolling is calculated by the typical fuzzy control theory. The least square method and fuzzy control algorithm are optimized so as to enhance control accuracy of automatic flatness, and at the same time largely improve flatness of steel strip, reduce working strength of operators and improve production efficiency of production line. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Fuzzy control

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Direct Fuzzy Adaptive Inverse control Based on Particle Swarm Optimization Algorithm

Direct Fuzzy Adaptive Inverse Control Based on Particle Swar...

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第26届中国过程控制会议（CPCC2015）

作者： LIU Fu-cai LIU Nan DOU Jin-mei Key Lab of Industrial Computer Control Engineering of Hebei Yanshan University

T-S fuzzy inverse model identification based on particle swarm optimization(PSO) algorithm is proposed for a class of nonlinear process, and it is applied to direct adaptive inverse control of nonlinear system. In the first, the fuzzy space is divided by fuzzy grid diagonal method and the Gaussian function with uncertain center and width is used as the membership function, the fuzzy inverse model is obtained by using PSO algorithm to optimize both of the antecedent and consequent parameters in the process of inverse modeling in off-line manner. Afterwards the initial inverse model is connected to the plant in series and the consequent parameters of the inverse model are tuned by the variable-step least mean square(VSLMS) algorithm in on-line manner while its copy is connected to the plant as system controller. This approach realizes the adaptive inverse control of nonlinear system based on PSO algorithm. Simulation results on a hybrid nonlinear system and level control of a spherical tank show the validity of this method.

关键词： particle swarm optimization T-S fuzzy inverse model adaptive inverse control variable-step least mean square nonlinear system

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The inverse kinematics analysis of the novel 6-DOF parallel mechanism

The inverse kinematics analysis of the novel 6-DOF parallel ...

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International Conference on Machine Learning and Cybernetics

作者： Wang, Hong-Rui Wang, Qing-Quan Alexander, Malikov Liu, Xiu-Ling Dong, Bin Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qin Huang Dao 066004 China Lab of Electronic and Information Engeering Hebei University Baoding 071002 China Kazan State Technical University Kazan Russia

ISBN: (纸本)9781424465262

In this paper, we present the inverse kinematical of a novel 6-DOF orthogonal parallel mechanism. The displacements Δli (i=1,...,6) of steering gears were deduced from the position and orientation of the moving platform. The desired trajectory was assumed to be more complex nonlinear curves, simulations are performed for the real time trajectory tracking of the mechanism. By using Matlab software, the analysis and simulation of mechanism can be carried out conveniently, and the efficiency of the design can be upgraded. The simulation curves of each displacement were provided and analyzed though simulative research. The results will be used for synthesis of the control law in the form of error feedback, and measurements results of actual movements by means of sensors. The analysis can help to realize the trajectory tracking control fast and accurately. © 2010 IEEE.

关键词： Inverse kinematics

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Distributed containment control with dynamic leaders based on binocular vision

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Journal of Information and Computational Science 2015年第4期12卷 1319-1327页

作者： Shao, Nuan Li, Huiguang Liu, Le Li, Guoyou Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

In this paper, we study the distributed containment control problem for multi-robot system with dynamic leaders in the presence of parametric uncertainties. The binocular vision system is used as the sensing device to provide real-time status information for the followers, so firstly, a new binocular visual model for dynamic target is established. Then RBF neural networks are employed to approximate the unknown nonlinear functions in the system model of followers, and the approximated values are introduced into the designed sliding mode controllers to make compensation. Finally, simulation results are presented to show the validity of the proposed control strategy. ©, 2015, Binary Information Press

关键词： Multipurpose robots

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Prediction of chaotic time series based on interval type-2 T-S fuzzy system

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Journal of Computational Information Systems 2014年第13期10卷 5403-5412页

作者： Wang, Shu'en Dou, Jinmei Liu, Yan Liu, Fucai Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

Fuzzy model based chaotic time series prediction has been extensively studied. However, traditional type-1 fuzzy system, whose membership functions are type-1 fuzzy set, has its limitation in handling uncertainties. Type-2 fuzzy system, whose membership functions are type-2 fuzzy set, has more adaptable parameters and design degree of freedom, making it more powerful in dealing with nonlinear and uncertain problems. In this paper, the interval type-2 fuzzy system, whose fuzzy space is divided by mesh diagonal method and consequent parameters are adapted by the forgetting factor recursive least square method while previous parameters remain unchanged, is applied to modeling and prediction of chaotic time series. Finally, the proposed scheme is tested by prediction of Mackey-Glass chaotic time series in case of noise free and noise condition, the simulation results show that the proposed scheme has a higher prediction accuracy and is powerful in handling uncertainties. © 2014 by Binary Information Press

关键词： Forecasting

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