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Chinese control Conference (CCC)

作者： Mingjin Hu Wei Hua Xudong Wu Chengdong Wu Dazhi Wang Zhentao Liu Xiaofang Yuan Wennong Zhang School of Electrical Engineering Southeast University Nanjing Faculty of Robot Science and Engineering Northeastern University Shenyang College of Information Science and Engineering Northeastern University Shenyang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 College of Electrical and Information Engineering Hunan University Changsha Inovance Technology Co Ltd Shenzhen

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, a two-degree-of-freedom (2-DOF) speed control scheme for permanent magnet synchronous machines is developed. Both the reference-tracking and disturbance rejection performance are taken into account and only a single parameter related to expected bandwidth determines the dynamics. To improve the performance of speed control, a novel identification method for mechanical parameters is also proposed. The effectiveness of the proposed method is verified by simulations.

关键词： Bandwidth Velocity control Torque Simulation Transfer functions Rotors Parameter estimation

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An Efficient Evolutionary Algorithm for High-Speed Train Rescheduling Under a Partial Station Blockage

SSRN

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SSRN 2023年

作者： Wang, Rongsheng Zhang, Qi Dai, Xuewu Yuan, Zhiming Zhang, Tao Ding, Shuxin Jin, Yaochu China Academy of Railway Sciences Corporation Limited Beijing100081 China Signal and Communication Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Train Operation Control Laboratory for High-Speed Railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit Beijing100081 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Faculty of Technology Bielefeld University BielefeldD-33615 Germany Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom

This paper investigates the high-speed train rescheduling (HSTR) problem under a partial station blockage and proposes an efficient problem-specific strengthen elitist genetic algorithm (PS-SEGA) for HSTR. An HSTR model that is subject to train operation constraints is established to minimize the total train delay. The PS-SEGA framework consists of the following main steps. Firstly, a permutation-based encoding method is developed to define an efficient search space based on a train departure sequence. A decoding method is employed to output the rescheduled timetable and objective value based on the departure sequence. Moreover, a hybrid initialization method involving an efficient heuristic strategy (EHS) is put forward to accelerate the convergence speed of Evolutionary algorithms (EAs). Using problem-specific knowledge, EHS generates an efficient and feasible solution for the initial population. Finally, a restart strategy is presented to maintain genetic diversity. Compared with other advanced EAs and their improved variants also using the PS-SEGA framework, experimental results demonstrate the effectiveness of the proposed PS-SEGA for addressing HSTR scenarios under the partial station blockage. As for the scenarios that CPLEX can not obtain optimal solutions within 10 minutes, PS-SEGA can all provide quasi-optimal solutions in real-time. Furthermore, compared with the other two strategies (i.e., First-Scheduled-First-Served and EHS), PS-SEGA can find the best departure sequence that can output the timetable with a quasi-optimal solution. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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Irrational-Behavior-Proof Conditions Based on Limit Characteristic Functions

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Journal of Systems Science and Information 2019年第1期10卷 1-16页

作者： Cui LIU Hongwei GAO Ovanes PETROSIAN Juan XUE Lei WANG School of Mathematics and Statistics Qingdao University School of Mathematics and Statistics Institute of Applied Mathematics of ShandongQingdao University Faculty of Applied Mathematics and Control Processes Saint Petersburg State University School of Mathematics and Statistics College of Automation and Electrical EngineeringQingdao University

Irrational-behavior-proof(IBP) conditions are important aspects to keep stable cooperation in dynamic cooperative games. In this paper, we focus on the establishment of IBP ***, the relations of three kinds of IBP conditions are described. An example is given to show that they may not hold, which could lead to the fail of cooperation. Then, based on a kind of limit characteristic function, all these conditions are proved to be true along the cooperative trajectory in a transformed cooperative game. It is surprising that these facts depend only upon the individual rationalities of players for the Shapley value and the group rationalities of players for the core. Finally,an illustrative example is given.

关键词： dynamic cooperative game irrational-behavior-proof condition limit characteristic function individual rationality

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Sliding Mode Flux Observer Based Predictive Field Oriented control for Induction Machine Drives

Sliding Mode Flux Observer Based Predictive Field Oriented C...

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International Conference on Power Electronics and Motion control (IPEMC)

作者： Haotian Xie Fengxiang Wang Wei Zhang Cristian Garcia José Rodríguez Ralph Kennel Chair of Electrical Drive Systems and Power Electronics Technical University of Munich Munich Germany Laboratory of Modern Motor Control and Power Electronics Quanzhou Institute of Equipment Manufacturing Quanzhou China Faculty of Engineering Universidad de Talca Curico Chile Faculty of Electrical Engineering Universidad Andres Bello Santiago Chile

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

This paper presents a robustness Predictive Field Oriented controller (PFOC) with a rotor-flux based sliding mode (SM) observer. Similar to FOC, the proposed PFOC compares stator current in orthogonal frame with their reference values. The main contribution of PFOC is that it has the merits of unconstrained bandwidth of inner loop and bypassing the modulation stage, to guarantee fast dynamic response. More specifically, the tracking error terms of orthogonal control objectives are optimized in a sequential order, to provide a solution for weighting parameter tuning according to the different operating conditions. Furthermore, a rotor-flux based SM observer is used to estimate rotor flux and speed. Experimental results confirm that the proposed controller with the SM flux-based observer performs well at steady and transient state, as well as high speed estimation accuracy at a low speed.

关键词： Tracking Rotors Bandwidth Observers Stators Transient analysis Tuning

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Implementing Industry 4.0 in Discrete Manufacturing: Options and Drawbacks

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IFAC-PapersOnLine 2018年第6期51卷 473-478页

作者： Arm, J. Zezulka, F. Bradac, Z. Marcon, P. Kaczmarczyk, V. Benesl, T. Schroeder, T. Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Institute for Automation Engineering Faculty of Electrical Engineering and Information Technology Otto von Guericke University Magdeburg Germany

The Industry 4.0 concept embodies a topic widely discussed during specialized meetings and tutorials. Originally, this approach was interpreted as an attempt to shift industrial processes towards establishing the fully digitized smart factory; at present, however, it already exerts an influence on many other fields and disciplines. In this article, the concept is described from the perspective of discrete manufacturing. The implementation possibilities are outlined, with options such as the Asset Administrative Shell or Consumer-Provider model introduced in greater detail. We also mention some drawbacks to implementing job shop scheduling as provided by the latter option; these disadvantages include, for instance, the deadlock situation. Some methods to solve the problem are demonstrated to facilitate well-balanced presentation. A job shop scheduling algorithm using the AAS is also addressed, and a new evaluation function is proposed. © 2018

关键词： Job shop scheduling Industry 4.0 Optimization Scheduling algorithms deadlock decentralized Discrete manufacturing Distributed control Evaluation function Industrial processs Manufacturing plant Well balanced

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NONDESTRUCTIVE TEST FOR QUALITY control IN LABORATORY-SCALE FABRICATION OF LAMINATED COMPOSITES USING PROGRAMMABLE PORTABLE ULTRASONIC

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International Journal of Lightweight Materials and Manufacture 2025年

作者： Yusuf Giri Wijaya Suprijanto Damar Rastri Adhika Rhakamerta Hijazi Abian Nurrohmad Magister Program of Instrumentation and Control Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Research Center for Aeronautics Technology National Research and Innovation Agency Bogor Indonesia Instrumentation Control and Automation Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Nano and Quantum Technology Research Group Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Research Center for Nanosciences and Nanotechnology Institut Teknologi Bandung Indonesia Research Center for Nuclear Beam Analysis Technology National Research and Innovation Agency Tangerang Indonesia

Laminated composites are the most frequently used component materials in manufacturing unmanned aerial vehicles (UAVs) in research centers or start-up industries. On a laboratory scale, laminated composites are fabricated by relying on technicians' skills due to the involvement of manual processes. Nondestructive testing (NDT) is needed to guarantee the structural integrity of the final product of laminated composites. The work proposes a programmable portable ultrasonic for nondestructive testing (NDT) to detect a potential defect due to foreign object contamination of fabrication layers of laminate composite. The proposed programmable NDT system is built using open-board devices; therefore, it could be developed cost-effectively compared to a commercial NDT system. The proposed NDT can measure and analyze a pattern of A-scan signal as a function of foreign object contamination material. Based on a C-scan image, the proposed NDT system could also be programmed to detect the size area of potential defects due to foreign object contamination. Two types of specimens, carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP), were tested to evaluate the performance of the developed NDT system. Testing aims to identify artificial defects intentionally placed within these specimens. The proposed portable ultrasonic NDT effectively detects CFRP and GFRP defects on A-mode and C-scan images. Therefore, the proposed portable ultrasonic NDT is an affordable system that can be developed in a laboratory workshop for quality control in laboratory-scale fabrication of laminated composites.

关键词： Laminated composite laboratory-scale fabrication quality control portable ultrasonic NDT A-scan C-scan

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Predictive Field Oriented control based on MRAS Current Estimator for IM Drives

Predictive Field Oriented Control based on MRAS Current Esti...

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International Conference on Power Electronics and Motion control (IPEMC)

作者： Haotian Xie Fengxiang Wang Wei Zhang Cristian Garcia José Rodriguez Ralph Kennel Chair of Electrical Drive Systems and Power Electronics Technical University of Munich Munich Germany Laboratory of Modern Motor Control and Power Electronics Quanzhou Institute of Equipment Manufacturing Haixi Institutes Quanzhou China Faculty of Engineering Universidad de Talca Curico Chile Faculty of Electrical Engineering Universidad Andrés Bello Santiago Chile

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

In this paper, a new Predictive Field Oriented control (PFOC) strategy is presented for the alternating current machine drive. The key feature of the PFOC method is that it has no pulse width modulation (PWM) process and an optimized inner current controller. This scheme adopts an inner current loop with cost function and an outer speed loop for torque tracking. In the proposed PFOC method, we design an optimized inner current controller that the stator current components in stationary frame are compared with their reference values, and then the tracking errors are optimized in a sequential order. Therefore, the optimized controller has no tuning parameters to modify the two orthogonal objective terms in the cost function. Moreover, a MRAS current estimator is designed to realize high accuracy speed and current estimations. It is confirmed by experimental results that the proposed MRAS current estimator based PFOC achieves lower speed tracking error, as well as improved steady-state and dynamic performance.

关键词： Torque Dynamics Pulse width modulation Cost function Steady-state Induction machines Tuning

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Vehicle rollover detection using recurrent neural networks

Vehicle rollover detection using recurrent neural networks

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IEEE Conference on Cybernetics and Intelligent Systems

作者： Christian Dengler Kailerk Treetipsounthorn Sunhapos Chantranuwathana Gridsada Phanomchoeng Boris Lohmann Setha Panngum Chair of automatic control Technical University of Munich Munich Germany Faculty of Engineering Bangkok Thailand Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (数字)9781728134581

ISBN: (纸本)9781728134598

Rollover accidents have a higher fatality rate than other types of accidents. Therefore, rollover prevention systems are of great importance for driver safety. The implementation of rollover prevention systems requires an estimation of the rollover risk. To assess that risk, different rollover indices have been introduced. A difficulty is the dependence of these indices on unknown parameters, e.g., center of gravity and current load of the vehicle. One solution is to implement an algorithm for the estimation of the required parameters that can be online measured. In this work however, we investigate the use of recurrent neural networks for the estimation of the rollover index. Their ability to work on sequential data is promising for a data based estimation without the need of an additional estimation algorithm. We implement and test different recurrent neural network architectures and compare the results with the achievable performance of a static neural network. The results are validated in simulation in the industry standard software CarSim.

关键词： Recurrent neural networks Logic gates Indexes Accidents Training Estimation

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Gradient Eigen-decomposition Invariance Biogeography-based Optimization for Mobile Robot Path Planning

Research Square

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Research Square 2021年

作者： Wang, Jiaqian Na, Xiaodong Han, Min Li, Deicai Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian116024 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China Professional Technology Innovation Center of Distributed Control for Industrial Equipment of Liaoning Province Dalian University of Technology Dalian116024 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In this paper, we propose a novel gradient eigen-decomposition invariance biogeography-based optimization (GEI-BBO) for mobile robot path planning, which has the merits of high rotation invariance and excellent search performance. In GEI-BBO, we design an eigen-decomposition mechanism for migration operation, which can reduce the dependence of biogeography-based optimization (BBO) on the coordinate system, improve the rotation invariance and share the information between eigen solutions more effectively. Meanwhile, to find the local optimal solution better, gradient descent is added, and the system search strategy can reduce the occurrence of local trapping phenomenon. In addition, combining the GEI-BBO with cubic spline interpolation will solve the problem of mobile robot path planning through a defined coding method and fitness function. A series of experiments are implemented on benchmark functions, whose results indicated that the optimization performance of GEI-BBO is superior to other algorithms. And the successful application of GEI-BBO for path planning in different environments confirms its effectiveness and practicability. © 2021, CC BY.

关键词： Mobile robots

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A Dynamic Optimization Approach for Sloshing Free Transport of Liquid Filled Containers using an Industrial Robot

A Dynamic Optimization Approach for Sloshing Free Transport ...

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2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Jan Reinhold Manuel Amersdorfer Thomas Meurer Chair of Automatic Control Faculty of Engineering Kiel University Kaiserstraße 2 Kiel Germany

The handling of liquid filled containers is a challenging task in industrial manufacturing processes. Without an appropriate trajectory sloshing of the liquid occurs during point-to-point motion. This paper presents a time optimal trajectory planning approach that is used for feedforward motion control and prevents the liquid filled container from sloshing. For this, a model of the liquid inside the container is included into the formulation of a constrained dynamic optimization problem to achieve rest-to-rest motion while simultaneously avoiding obstacles. The presented approach is validated by simulation and on an experimental setup using an industrial robot handling the container.

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