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International Journal of control and automation 2016年第11期9卷 283-294页

作者： Soon, C.C. Ghazali, R. Jaafar, H.I. Hussien, S.Y.S. Sam, Y.M. Rahmat, M.F. Centre for Robotics and Industrial Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Durian Tunggal Hang Tuah Jaya Melaka76100 Malaysia Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor81310 Malaysia

It is well known that the electro-hydraulic actuator (EHA) system is exposed to the disturbances, uncertainties, and parameter variations which are caused by the changes in operating conditions for instance, total moving mass, supply pressure, servo-valve gain, bulk modulus, leakage coefficient, and friction. These problems pose to a great challenge in modelling and controller development for an EHA system. Degradation of the desired performance can be imposed if an improper control strategy is utilized. This paper discusses the fundamental study on the significant effect that leads to degradation of EHA system performance due to variation in the system parameters. A nonlinear EHA system model is developed and implemented in the simulation studies in open-loop and closed-loop control configuration. The finding shows that the servo-valve gain resulted the most influential parameters to the EHA system performance as compared to the total moving mass and supply pressure parameters. In order to overcome these issues, the utilized controller should be robust enough to overcome the entire operating range that against such disturbances, uncertainties, and parameter variations. Therefore, a nonlinear and the intelligent control approach may be necessary to be designed in order to overcome these difficulties. © 2016 SERSC.

关键词： Closed loop control systems

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Multi-objective flexible job shop scheduling problem using differential evolution algorithm

Multi-objective flexible job shop scheduling problem using d...

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2017 9th International Conference on Modelling, Identification and control (ICMIC 2017)

作者： Yang Cao Haibo Shi Zhonghua han College of Information Science and Engineering Northeastern University Department of Digital Factory Shenyang Institute of AutomationCAS University of Chinese Academy of Sciences Key Laboratory of Networked Control CAS Faculty of Information and Control Engineering Shenyang Jianzhu University

Flexible job shop scheduling problem(FJSP) is very complex to be controlled,and it is a problem which inherits job shop scheduling problem(JSP) *** has two sub-problems: routing sub-problem and scheduling *** this paper,improved differential evolution(DE) algorithm is presented for multi-objective *** of three objective functions includes maximum completion time,workload of the most loaded machine and total workload of all *** improved algorithm has a well-designed mutation and crossover operator,and uses a Pareto non-dominated sorting *** simulations and comparisons demonstrate the effectiveness of the proposed improved DE algorithm.

关键词： flexible job shop scheduling problem differential evolution algorithm multi-objective optimization

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Modeling and nonlinear control of antagonistically actuating pneumatic artificial muscles

Modeling and nonlinear control of antagonistically actuating...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Roman Weiß Benjamin Großmann Marion Leibold Thomas Schlegl Dirk Wollherr Faculty of Mechanical Engineering Ostbayerische Technische Hochschule Regensburg 93049 Germany Marion Leibold and Dirk Wollherr are with the Chair of Automatic Control Engineering (LSR) Technische Universität München Munich Germany The Faculty of Mechanical Engineering Ostbayerische Technische Hochschule Regensburg Regensburg Germany

This paper discusses modeling and nonlinear control of a joint antagonistically actuated by two pneumatic, artificial muscles. A single model of the whole system is obtained by a combined physical and phenomenological modeling approach. The combined model for the joint, the muscles and the proportional valves results in a nonlinear, affine-in-control system description. The model is used to derive control laws for an input/output linearization approach to linearize the plant. Modeling and parametrization errors are covered via an outer control loop consisting of a state-feedback which is extended by an additional feedback of error integral. Extensive experimental results show the quality of the model and the performance of the respective control laws.

关键词： Muscles Valves Transfer functions Force Robot sensing systems Pulleys

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Comparative Evaluation of a Novel Principle for PID Autotuning

Comparative Evaluation of a Novel Principle for PID Autotuni...

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Asian control Conference

作者： Robin De Keyser Clara M. Ionescu Cristina I. Muresan Faculty of Engineering and Architecture Research group on Dynamical Systems and Control Ghent Belgium Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (纸本)9781509015740;9781509015733

PID controllers are still the most widely used controllers in industrial applications. However, industrial reports indicate that 60% of loops are poorly tuned and 25% never fulfill the specifications. Operator training may be not available for re-tuning the loops, or the number of loops may be too large. Despite this, a significant operation time is still based on manually tuned controllers. Hence, efforts to develop autotuning PID methods are still very much justified. In this paper, a novel principle for such autotuning technique is extensively evaluated on typical benchmark processes;comparison to several popular autotuning methods shows its superiority.

关键词： Frequency response Tuning Transfer functions Process control Design methodology Mathematical model Delay effects

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Real Time Simulation of Dynamic Voltage Restorer (DVR) utilizing RTDS and dSPACE 8

Real Time Simulation of Dynamic Voltage Restorer (DVR) utili...

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8th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2017

作者： Da Silva Junior, Dalmo C. Musse, Bernardo F. Lanes, Matusalem M. De Oliveira, Janaina G. Faculty Electrical Engineering Multi Platform Simulations Laboratory Federal University of Juiz de Fora-MG Juiz de Fora-MG36036-900 Brazil Control and Automation Applied to Electrical Power Systems Group Federal Center for Technological Education of Minas Gerais Leopoldina-MG36700-000 Brazil

ISBN: (纸本)9781509053384

This paper deals with the simulation of a Dynamic Voltage Restorer (DVR) for compensating electric power grid disturbances, in order to protect sensitive loads. The DVR is composed for power electronics converters (AC-DC and DC-AC converters), a serie transformer and a control system. This control system is capable of detecting the disturbances and compensating them. The complete system (grid model, DVR and sensitive load) was simulated on Real-Time Digital Simulator (RTDS), with Hardware in the Loop (HTL) on dSPACE. In RTDS, the power circuits was modeled, and already on dPSACE, the control logic was implemented. In order to analyze the DVR's dynamic behavior, simulation tests have been performed, inserting disturbances with variable amplitude, characterizing a voltage sag, swell and interruption. And finally, the simulation results show a successful compensation for the disturbances inserted in grid, protecting the load. © 2017 IEEE.

关键词： Electric inverters

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Preface

Methodologies and Intelligent Systems for Technology Enhance...

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, 2019 2020年 1007卷 v-vi页

作者： Gennari, Rosella Vittorini, Pierpaolo De la Prieta, Fernando Di Mascio, Tania Temperini, Marco Silveira, Ricardo Azambuja Carranza, Demetrio Arturo Ovalle Computer Science Faculty Free University of Bozen-Bolzano Bolzano Italy Department of Life Health and Environmental Sciences University of L’Aquila L’Aquila Italy Department of Computer Science and Automation Control University of Salamanca SalamancaSalamanca Spain Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy Dipartimento di Ingegneria Informatica Automatica e Gestionale Sapienza Università di Roma Rome Italy Department of Computer Science and Statistics Federal University of Santa Catarina Florianópolis Brazil Universidad Nacional de Colombia Medellin Colombia

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Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm

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IOP Conference Series: Materials Science and engineering 2018年第3期382卷

作者： Zhonghua Han Xutian Tian Xiaofu Ma Shuo Lin Faculty of Information and Control Engineering Shenyang Jianzhu University Liaoning 110168 China Digital Factory Department Shenyang Institute of Automation CAS Shenyang 110016 China Information & Control Engineering Faculty Shenyang Jianzhu University Liaoning 110168 China Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA USA 24060

In order to solve the scheduling problems of Re-entrant Hybrid Flowshop (RHFS), this paper investigates the mathematical programming model of RHFS, and proposes the wolf pack based algorithm (WPA) as a global optimization method. Multi-Sticking Crape Masking procedure scheduling problems in painting workshop of a bus manufacturing enterprise are of typical features of RHFS. We regard it as an application objective of the proposed algorithm, applying WPA and multiple evolutionary algorithms to solve the problems. The results show that the algorithm can solve re-entrant scheduling problems of hybrid flowshop more effectively compared with other conventional methods.

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Non-parametric modeling of double-link flexible robot manipulator based on NNARX model structure 19th

Non-parametric modeling of double-link flexible robot manipu...

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19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2016

作者： Jamali, Annisa Mat Darus, Intan Zaurah Abdulhussain, Ali Tokhi, M.O. Automation and Control Laboratory Faculty of Mechanical Engineering Universiti Teknologi Malaysia SkudaiJohor81300 Malaysia Department of Automatic Control and System Engineering University of Sheffield United Kingdom

ISBN: (纸本)9789813149120

The double-link flexible robot manipulator (DLFR) is a highly non-linear system. The development of existing linear models involves a lot of assumptions and approximations in order to reduce the complex calculation. Due to that, this paper presents a non-linear Auto Regressive model with eXogenous inputs (NARX) for DLFR and neural network is used to predict the non-linear segment. Thus, NNARX structure is used to develop four separate model of double link flexible manipulator from torque input to hub angle and from torque input to end point accelerations of each link. The performance of NNARX models are validated via One Step Ahead, Mean Squared Error and correlation tests. © 2016, World Scientific Publishing Co. Pte Ltd. All rights reserved.

关键词： Flexible manipulators

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Multi-view hybrid embedding: A divide-and-conquer approach

arXiv

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arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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