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Flow measurement of pneumatically conveyed biomass-coal particles using multi-channel electrostatic sensors

Flow measurement of pneumatically conveyed biomass-coal part...

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IEEE Instrumentation and Measurement Technology Conference

作者： Xiangchen Qian Yong Yan Alf Malmgren School of Engineering and Digital Arts University of Kent Canterbury Kent UK School of Electrical Engineering and Automation Tianjin University TJU Tianjin China Instrumentation Control and Embedded Systems Group School of Engineering and Digital Arts University of Kent Canterbury Kent UK RWE npower Public Limited Company Swindon UK

Key parameters such as particle velocity and concentration of biomass-coal flow in fuel injection pipelines are useful to power plant operators to detect fuel supply problems at an early stage. This paper presents the use of a multi-channel electrostatic sensor with circular and arc-shaped electrodes for the on-line, continuous measurement of “local” and “mean” characteristics of the biomass-coal mixture flow. Experimental tests were conducted on a laboratory-scale particle flow test rig under various flow conditions. The results suggest that, due to physical differences between biomass and coal particles, the characteristics of the flow depend on the biomass proportion in the mixture. It is found that pure coal particles travel faster and carry more electrostatic charge than those of pure biomass particles. As more biomass is added to the coal flow, the overall velocity of the flow slows down, the electrostatic charge level decreases, and the flow becomes less stable compared to the pure coal flow.

关键词： Electrodes Atmospheric measurements Particle measurements Correlation Biomass Electrostatics Sensors

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A discrete event-triggered communication scheme for networked T-S fuzzy systems

A discrete event-triggered communication scheme for networke...

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Annual Conference of Industrial Electronics Society

作者： Chen Peng Qing-Long Han Dong Yue School of Electrical and Automation Engineering Nanjing Normal University Nanjing Jiangsu China Centre of Intelligent and Networked Systems Central Queensland University Rockhampton QLD Australia Centre of Intelligent and Networked Systems School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

This paper presents a discrete event-triggered communication scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This scheme has two main features: i) whether or not the sampled state should be transmitted is determined by the current sampled state and the error between the current sampled state and the latest transmitted state, and ii) it is a discrete event-triggered communication scheme since the triggered conditions are measured and checked at the discrete sampling instant. Next, an asynchronous networked T-S fuzzy model is delicately constructed, which not only includes the state error, but also considers the non-uniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules. Then, using the Lyapunov-Krasovskii functional techniques, two sufficient conditions are derived for system analysis and synthesis, respectively. In particular, the derived stabilization criterion can provide a tradeoff to balance the required communication resources and the desired performance. Finally, a numerical example is given to show the effectiveness of the proposed method.

关键词： Fuzzy systems Current measurement Delay Educational institutions control systems Stability analysis Measurement uncertainty

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A delay system method to design of event-triggered control of networked control systems

A delay system method to design of event-triggered control o...

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IEEE Conference on Decision and control

作者： Dong Yue Engang Tian Qing-Long Han Department of Control Science and Engineering and the Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei 430074 China School of Electrical and Automation Engineering Nanjing Normal University 78 Bancang Street Nanjing 210042 China Center for Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton Qld 4702 Australia

ISBN: (纸本)9781612848006

The event-triggered H_(infinity) control design is investigated for networked control systems with uncertainties and transmission delays. A novel event-triggering scheme is proposed, which has some advantages over traditional ones with a continuous detector. Considering the effect of the transmission delay, a delay system model for the analysis is firstly constructed. Then, based on the model and Lyapunov functional method, criteria for the stability with an H_(infinity) norm bound and criteria for the co-design of both the feedback gain and the trigger parameters are derived. In order to solve the feedback gain and the trigger parameters, the linear matrix inequality technique is employed. From the simulation example, it can be concluded that the proposed event-triggering scheme is superior to some other event-triggering schemes in some existing literature.

关键词： feedback gain Networked control systems Event trigger Delay systems Scheme Co-design control systems design control

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Adaptive Failure Compensation of Hysteric Actuators in controlling Uncertain Nonlinear systems

Adaptive Failure Compensation of Hysteric Actuators in Contr...

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2011 American control Conference (ACC)

作者： Jianping Cai Changyun Wen Hongye Su Xiaodong Li Zhitao Liu Jianping Cai Hongye Su and Zhitao Liu are State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems University of Zhejiang Hangzhou China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Beijing Research Institute of Automation For Machinery Industry Beijing China

Hysteresis nonlinearity exists in many physical actuators and actuator failures seem inevitable in practice. However, there is still no result available to compensate for failures of hysteric actuators in the design of controllers based on adaptive approaches. In this paper, we address such a problem by considering controlling a class of unknown nonlinear systems with multiple hysteric actuators. Two schemes are presented to design control signals for these actuators. Both schemes can accommodate uncertain patterns, values and time of actuator failures, in addition to system parametric uncertainties. It is shown that the designed controllers can compensate for failure and hysteresis effects of the actuators in the sense that system stability and tracking performance are maintained no matter whether this is any actuator failure or not.

关键词： Actuators Stability analysis Adaptive control Nonlinear systems Lyapunov methods Hysteresis Backstepping

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Two alternative approaches to stochastic discrete-time iterative learning control systems

Two alternative approaches to stochastic discrete-time itera...

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IEEE Conference on Decision and control

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper aims to address the robust convergence problem that arises from discrete-time iterative learning control (ILC) systems subject to random disturbances. Two alternative approaches are considered in order to achieve the perfect output tracking of the stochastic discrete-time ILC systems in the sense of both expectation and variance, which use the tracking error and the input error for analysis, respectively. It is shown that the convergence results of two approaches to ILC can be established by developing some statistical expressions in super-vector forms. Moreover, it is demonstrated that the convergence results of two approaches to ILC are not always equal, and they can keep the same only in the case where the controlled plants are square.

关键词： Iterative learning control discrete-time systems random disturbances

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Column Formation control of Multi-robot systems with Input Constraints

Column Formation Control of Multi-robot Systems with Input C...

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IEEE Conference on Decision and control

作者： Xiaohan Chen Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper is concerned with the column formation control of multi-robot systems that are subject to input constraints. A new leader-follower setup is proposed, under which the Lyapunov method can provide a simple controller in terms of two feedback parameters. It is shown that using an elliptic approximation to input constraints, the two feedback parameters can be obtained directly with a geometric analysis method. Moreover, a sufficient condition is presented for the leader robot to guarantee that the desired column formation can be achieved, with which a particular controller is designed by selecting two appropriate functions for the feedback parameters. Simulation results are included to verify the effectiveness of the proposed theoretical results.

关键词： Column formation control multi-robot systems leader-follower input constraints elliptic approximation

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Robust L_(2) - L_(infinity) Consensus control of the Second-order Multi-agent systems with Time-delay

Robust L_(2) - L_(infinity) Consensus Control of the Second-...

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IEEE Conference on Decision and control

作者： Yan Cui Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

Robust L_(2) - L_(infinity) consensus control is studied for the second-order multi-agent systems with external disturbances and parameter uncertainties. By defining an appropriate controlled output, the consensus problem of the systems is transformed into a normal L_(2) - L_(infinity) control problem, and distributed state feedback protocols with time-delay are proposed. Sufficient conditions are established for the convergence to consensus of the network under fixed or switching topology. Numerical simulations are provided to demonstrate the effectiveness of our theoretical results.

关键词： Topology Europe

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Collision Avoidance Maneuver Design Based on Equidistance Interpolation

Collision Avoidance Maneuver Design Based on Equidistance In...

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IEEE Conference on Decision and control

作者： Yongqiang Qi Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper deals with the active collision avoidance maneuver for the chaser along the specified trajectory, and presents a maneuver approach with constant thrust. Using the 3D stereo vision measurement, The relative position parameters of the target spacecraft for analyzing the collision possibility are obtained by using the vision measurement and the target maneuver positions are calculated through the equidistance interpolation method. The working times of thrusters in three axes can be respectively computed by the time series analysis method. In particular, the perturbation and fuel consumption are addressed during the computation of working time. Furthermore, the acceleration sequences and the corresponding working time series can be employed to determine a switching control law for the active collision avoidance maneuver. The simulation results show that the switch control law can effectively guarantee the chaser moving along the specified trajectory.

关键词： Constant thrust Vision measurement Switch control law The specified trajectory Equidistance interpolation

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Gaussian mixture PHD filter for multiple maneuvering extended targets tracking

Gaussian mixture PHD filter for multiple maneuvering extende...

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IEEE Conference on Decision and control

作者： Wenling Li Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper addresses the problem of tracking multiple maneuvering extended targets in the framework of random finite set theory. An elliptical model is adopted for exploiting sensor measurements of target extent, and the target dynamics is described by a jump Markov linear system which combines the shape parameters into the kinematic state vector. As each extended target gives rise to unlabeled multiple measurements per time step, all the received measurements are partitioned into a number of subsets so that the measurements in each subset are expected to stem from the same source. In addition, the best-fitting Gaussian approximation approach is employed to circumvent the difficulty of multiple model mixing in the Gaussian mixture probability hypothesis density (GM-PHD) filter. A numerical example is provided to compare the performance of the proposed filter with that of the GM-PHD filter without measurement partition.

关键词： Maneuvering Filters shape parameter extended target Gauss Subset numerical example

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Adaptive Fuzzy and Sliding-Mode control of a Robot Manipulator with Varying Payload

Adaptive Fuzzy and Sliding-Mode Control of a Robot Manipulat...

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IEEE Conference on Decision and control

作者： Selami Beyhan Zsofia Lendek Robert Babuska Martijn Wisse Musa Alci Ege University Electrical and Electronics Engineering Bornova Izmir 35100 Turkey Department of Automation Technical University of Cluj-Napoca Romania Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands Delft Biorobotics Laboratory Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands

ISBN: (纸本)9781612848006

In this paper, we compare indirect adaptive fuzzy control and sliding-mode control in a robot manipulator application. The manipulator performs pick-and-place tasks with unknown and variable payloads. The change of payload causes large variations in the dynamics of the robot. The sliding-mode controller deals with the payload change through its inherent robustness, while the adaptive fuzzy control algorithm adjusts the controller's parameters on-line. The control methods are compared both in numerical simulations and in real-time experiments. The sliding mode controller obtains a very good steady performance. However, thanks to the continuing adaptation, the adaptive fuzzy controller eventually yields smaller steady-state error.

关键词： Robot Manipulator Variable structure systems Payload indirect adaptive fuzzy control controllers control Methods

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