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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zou, Yuanyuan James, Lam Niu, Yugang Li, Dewei Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Mechanical Engineering University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789881563842

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction. © 2014 TCCT, CAA.

关键词： Networked control systems

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Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial processes

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Acta Automatica Sinica 2014年第3期40卷 423-430页

作者： Kai-Xiang PENG Kai ZHANG Gang LI Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Department of Automation Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China

Over past decades, kernel principal component analysis (KPCA) appeared quite popularly in data-driven process monitoring area. Enormous work has been done to show its simplicity, feasibility, and effectiveness. However, the introduction of kernel trick makes it impossible to directly employ traditional contribution plots for fault diagnosis. In this paper, on the basis of revisiting and analyzing the existing KPCA-relevant diagnosis approaches, a new contribution rate based method is proposed which can explain the faulty variables clearly. Furthermore, a scheme for online nonlinear diagnosis is established. In the end, a case study on continuous stirred tank reactor (CSTR) benchmark is applied to access the effectiveness of the new methodology, where the comparisons with the traditional linear method are involved as well.

关键词： Kernel principal component analysis (KPCA) nonlinear fault detection contribution rate fault diagnosis

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Temperature Modeling of PEM Fuel Cell Based on Fuzzy Strategy

Temperature Modeling of PEM Fuel Cell Based on Fuzzy Strateg...

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第26届中国控制与决策会议

作者： Yan Qun Li Qing Zhang Peichang Yu Datai School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)

Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key technologies for PEM fuel cell. This paper built a temperature model of PEM fuel cell based on fuzzy technology, which divided the fuzzy space evenly by established rules, got the number of fuzzy rules and rules application degree, identified the consequent parameters by least square method. This model is fit for multi-variables and has simple construction and high accuracy. Finally, simulation examples show the effectiveness of the modeling.

关键词： fuzzy identification,PEM fuel cell,temperature system,T-S model

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A new pricing scheme for controlling energy storage devices in smart grid

A new pricing scheme for controlling energy storage devices ...

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2014 American control Conference, ACC 2014

作者： Zhu, Jingwei Chen, Michael Z. Q. Zuo, Zhiqiang Du, Baozhu Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Champaign IL 61820 United States Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China School of Automation Nanjing University of Science and Technology Nanjing China HKU Shenzhen Institute of Research and Innovation China

ISBN: (纸本)9781479932726

Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a novel pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge. © 2014 American Automatic control Council.

关键词： Smart power grids

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Hovering control of a nano quadrotor unmanned aerial vehicle using optical flow

Hovering control of a nano quadrotor unmanned aerial vehicle...

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Chinese control Conference (CCC)

作者： Bin Xian Yang Liu Xu Zhang Meihui Cao Fu Wang The Institute of Robotics and Autonomous System The Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin Tianjin CN

In this paper, a PD controller which uses optical flow to obtain position and velocity feedback is proposed for the autonomous hovering flight control of a nano quadrotor unmanned aerial vehicle (UAV). The nano quadrotor UAV has a mass less than 100 g and is comparatively much smaller than the micro vehicles utilized in previous research. Due to the limited size and payload ability, a wireless camera is employed as the onboard visual device to obtain the position and translational velocity of the UAV. Experiment results are included to demonstrate the good control performance of the proposed design.

关键词： Image motion analysis Computer vision Optical imaging Optical sensors Adaptive optics Optical filters Optical feedback

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Nonlinear Asymptotic Attitude Tracking control for an Unmanned Helicopter with Input Constraints

Nonlinear Asymptotic Attitude Tracking Control for an Unmann...

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American control Conference

作者： Xiang Liu Bin Xian Yao Zhang Xu Zhang Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and Control Schoool of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9781479932757

In this paper a nonlinear attitude tracking control scheme is developed for a small-scaled unmanned helicopter under input constraints. Via the analysis of the properties associated with the helicopter's rotor dynamics, the elevator servo input, the aileron servo input, and the rudder servo input are chosen to be the control inputs to be designed. Their constraints in amplitude under hovering flight is taken into account by using the robust bounded terms in the controller design. The asymptotic convergence of the tracking error is guaranteed with the Lyapunov-based stability analysis.

关键词： Helicopters Rotors Attitude control Vectors Servomotors Stability analysis Equations

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A Continuous Robust control Design for a Class of Non-Affine Nonlinear Dynamics with Non-varnishing Disturbance

A Continuous Robust Control Design for a Class of Non-Affine...

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American control Conference

作者： Yao Zhang Bin Xian Bo Zhao Xiang Liu Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and Control Schoool of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9781479932757

In this paper, the problem for the control of a class of single-input-single-output (SISO) non-affine nonlinear system with non-varnishing disturbance is investigated. A continuous nonlinear feedback structure is utilized to tackle with the uncertain dynamics in the system. By taking the time derivative of the origin system, a transformed affine-like form is derived. The first order derivative of control input appears linearly in the augmented dynamics with unknown control direction. Nussbaum-type function is incorporated to estimate the unknown control direction. A revised Lyapunov based analysis is carried out to prove that under some moderate assumptions, the Semi-global Uniformly Ultimately Bounded (SGUUB) tracking result is achieved and all the closed loop signals are bounded. Numerical simulation results are presented to illustrate the performance of the proposed control law.

关键词： Radio frequency Nonlinear dynamical systems Stability analysis Trajectory Tracking loops control design Equations

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Separable Model Predictive control via Alternating Direction Method of Multipliers for Large-scale Systems

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IFAC Proceedings Volumes 2014年第3期47卷 10499-10504页

作者： Liang Lu Division of Automatic Control Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

In this paper, an alternating direction method of multipliers (ADMM) based real-time model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constraints, the constrained MPC problem can be formulated as a separable MPC problem, which can be computed very efficiently by projected gradient descent ADMM update steps and Riccati recursions. The sequence of the objective value of this constrained real-time ADMM-type MPC algorithm satisfies a linear convergence rate. The procedure is also extended to distributed systems with constraints, in which the variables of each subsystems communicate with their neighbors and update in the Gauss-Seidel way. An illustrative example shows the effectiveness of this approach.

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Sensor system for unsteady flow characteristics in a sonic nozzle with vapor condensation

Sensor system for unsteady flow characteristics in a sonic n...

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International Instrumentation and Measurement Technology Conference

作者： Chao Wang Hongbing Ding Yakun Zhao Yong Yan Yonghui hu Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Instrumentation Control and Embedded Systems Group School of Engineering and Digital Arts University of Kent School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781467363846

Experiments on periodic, unsteady compressible flow in a sonic nozzle with heat addition were reported. This unsteady flow is caused by the condensation of water vapor in the sonic nozzle which will affect the flow rate of the sonic nozzle. A dimensional analysis for the essential effect factors of unsteady flow frequency was carried out. An experimental system including a sensor for pressure oscillation monitoring was built. The experimental results agree well with the simulation and semi-empirical formula. Both the sensor and experimental results can be used to further study the effect of unsteady flow due to the condensation of water vapor on the flow rate of the sonic nozzle.

关键词： fast pressure sensor frequency characteristics unsteady flow rate vapor condensation sonic nozzle

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Quadratic Radical Function Better Than Fisher z Transformation

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Transactions of Tianjin University 2013年第5期19卷 381-384页

作者：杨正瓴段志峰王晶晶王腾宋延文张军 School of Electrical Engineering and Automation Tianjin University Tianjin Key Laboratory of Process Measurement and Control

A new explicit quadratic radical function is found by numerical experiments,which is simpler and has only 70.778%of the maximal distance error compared with the Fisher z ***,a piecewise function is constructed for the standard normal distribution:if the independent variable falls in the interval(-1.519,1.519),the proposed function is employed;otherwise,the Fisher z transformation is *** with the Fisher z transformation,this piecewise function has only 38.206%of the total *** new function is more exact to estimate the confidence intervals of Pearson product moment correlation coefficient and Dickinson best weights for the linear combination of forecasts.

关键词： normal distribution cumulative distribution function error function confidence interval correlation coefficient combination of forecasts

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