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27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020

作者： Lukin, Aleksandr Demidova, Galina L. Lukichev, Dmitry V. Rassolkin, Anton Kallaste, Ants Vaimann, Toomas Belahcen, Anouar ITMO University Faculty of Control System and Robotics Saint Petersburg Russia Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallin Estonia Aalto University Department of Electrical Engineering and Automation Helsinki Finland

ISBN: (纸本)9781728141589

The main feature of Magnus wind turbine is the ability to produce energy at low wind speed. This benefit lets to use such types of turbines in smart homes, which are an important part of the development of distributed energy systems, growth of blockchain electricity technology and needs for duplication of the solar energy system in the private buildings. This paper presents topology of two cylinders Magnus wind turbine in order to ensure the highest values of power coefficient and the Magnus force. The optimal ratio of wind speed and cylinder rotation speed were detected to eliminate the oscillations caused by the Von Karman vortex street phenomenon. © 2020 IEEE.

关键词： Wind power

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Identification and self-tuning control of electro-pneumatic actuator system with control valve

Identification and self-tuning control of electro-pneumatic ...

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2013 IEEE 3rd International Conference on System engineering and Technology, ICSET 2013

作者： Sunar, N.H. Rahmat, M.F. Faudzi, Ahmad'Athif Mohd Ismail, Z.H. Salim, Sy Najib Sy Dept. of Mechatronics and Control Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Center for Artificial Intelligence and Robotic Universiti Teknologi Malaysia Jalan Semarak Kuala Lumpur Malaysia Dept. of Control Instrument and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia

ISBN: (纸本)9781479910304

In this paper, a mathematical modeling of pneumatic actuator system is developed by using RLS algorithm. An ARX model is chosen for the model structure. In order to cater the time-varying parameter of pneumatic system, a self-tuning controller is implemented based on the pole-assignment controller. An online RLS algorithm update the parameter estimation at every sample interval. The pole-assignment control parameter is then updated accordingly to the changes of the system parameters. Result of the system performance is compared with the conventional PID controller optimized by PSO algorithm. It is observed that the self-tuning controller performed well with almost zero error at steady state condition and overshoot less than 1%. © 2013 IEEE.

关键词： Pneumatics

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control of an Overhead Crane with the controlled Lagrangian Method

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IFAC Proceedings Volumes 2010年第14期43卷 131-136页

作者： Daniel Poljak Dominik Schindele Felix Antritter Harald Aschemann Claus Hillermeier Chair of Automation and Control Engineering University of the Bundeswehr Munich Germany Chair of Mechatronics University of Rostock Germany

A nonlinear controller structure for an overhead crane is designed and implemented on a crane plant. The energy based stabilizing controller part is derived by the method of controlled Lagrangians. In that framework, kinetic and potential shaping is performed and so-called general matching conditions are employed. control parameters well suited for the practical implementation are found by optimization using the linearization of the closed loop system. Nonlinear damping effects are counteracted in the overall controller structure by feedforward compensation and a reduced nonlinear disturbance observer.

关键词： energy based control underactuated mechanical systems controlled Lagrangians

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DSC-Based Implementation for Power control of DFIG in Microgrid Applications

DSC-Based Implementation for Power Control of DFIG in Microg...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Burak Soner Tarik Uzunovic Emre Ozsoy Edin Golubovic Asif Sabanovic Mechatronics Sabanci University Control and Automation Engineering Istanbul Technical University

ISBN: (纸本)9781479917631

This paper presents a compact and low cost digital signal controller (DSC) based implementation for power control of a doubly fed induction generator (DFIG) based wind energy setup for micro-grid applications. The experimental setup consists of a back to back converter, a 1.1 kW DFIG and two low cost, industry standard DSCs. Stator active power and reactive power are controlled by means of the rotor currents. Decoupled components of the rotor current in a rotating frame are controlled by a robust, disturbance observer based control structure. The proposed controller was validated through experiments.

关键词： DFIG Microgrid Power control Vector control Digital signal controller

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Feasibility and soft constraint of steady state target calculation layer in LP-MPC and QP-MPC cascade control systems

Feasibility and soft constraint of steady state target calcu...

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作者： Zou, T. Li, H.Q. Zhang, X.X. Gu, Y. Su, H.Y. College of Information Engineering Zhejiang University of Technology China School of Mechatronics Engineering and Automation Shanghai University Shanghai 200444 China State Key Laboratory of Industrial Control Technology Zhejiang University China

This paper mainly focus on the feasibility and soft constraint of steady state target calculation, which is one of inherent problem of predictive control. By using two-stage method, the state target calculation can be solved effectively. To guarantee the existence of feasibility domain, weighting and priority policies are presented to determine the feasibility and adjust soft constraints. Simulation results validate the effectiveness of the proposed approach © 2011 Zhejiang University.

关键词： Cascade control systems

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Intelligent On-Line System for Monitoring Technical Condition of High-Voltage Cable Couplings

Intelligent On-Line System for Monitoring Technical Conditio...

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2024 International Russian Smart Industry Conference, SmartIndustryCon 2024

作者： Gasiyarov, Vadim R. Voronin, Stanislav V. Radionov, Andrey A. Lyubimov, Ivan V. Evdokimov, Sergey A. Khramshin, Vadim R. Moscow Polytechnic University Department of Automation and Control Moscow Russia South Ural State University Department of Mechatronics and Automation Chelyabinsk Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (纸本)9798350395044

The article provides the characteristics of the end cable couplings of the closed switchgear 110 kV at the electric steelmaking workshop of the metallurgical plant. The functions of the continuous technical condition monitoring system are substantiated, including continuous temperature monitoring and on-line registration of partial discharges in the insulation. The first function provides monitoring of the operational load, and the second has the maximum sensitivity for diagnosing defect propagation. A functional diagram of the developed intelligent on-line system for monitoring technical condition with digital signal transmission is provided. The choice of sensors and processor unit is justified. The authors consider the temperature control system of high-voltage equipment 'WDM-T', including a wireless sensor and an information receiver. The results of monitoring the thermal regime are provided, the advantages of partial discharge analysis are pointed out. The temperature trends of the end couplings included in the cable line phases are considered. The system is implemented on the closed switchgear 110 kV end couplings, its long-term operation has confirmed the effectiveness of technical condition monitoring. The developed system may be a component of an on-line cyberphysical system for monitoring the condition of high-voltage equipment in the electric steelmaking workshop. © 2024 IEEE.

关键词： Electric lines

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Three-degree-of-freedom dynamic model based IT2RFNN control for gantry position stage

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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Chou, Po Huan Lin, Faa Jeng Chen, Chin Sheng Lee, Feng Chi Department of Mechatronics Control Industrial Technology Research Institute Taiwan Department of Electrical Engineering National Central University Taiwan Graduate Institute of Automation Technology National Taipei University of Technology Taiwan

ISBN: (纸本)9783037858639

A three-degree-of-freedom (3-DOF) dynamic model based interval type-2 recurrent fuzzy neural network (IT2RFNN) control system is proposed in this study for a gantry position stage. To consider the effect of inter-axis mechanical coupling, a Lagrangian equation based 3-DOF dynamic model for gantry position stage is derived first. Then, to minimize the synchronous error and tracking error of the gantry position stage, the 3-DOF dynamic model based IT2RFNN control system is proposed. In this approach, the adaptive learning algorithms of the IT2RFNN on-line are derived from the Lyapunov stability theorem. Finally, some experimental results of optical inspection application are illustrated to show the validity of the proposed control approach. © (2013) Trans Tech Publications, Switzerland.

关键词： Dynamic models

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A case study in Istanbul E-80: Intelligent speed change at the highway for reducing gas emission

A case study in Istanbul E-80: Intelligent speed change at t...

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International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015

作者： Öner, Alper Günel, Gülay Öke Istanbul Technical University Mechatronics Education and Research Center Maslak Campus Istanbul34469 Turkey Istanbul Technical University Department of Control and Automation Engineering Maslak Campus Istanbul34469 Turkey

ISBN: (纸本)9789633131428

Greenhouses gases (GHGs) are a major problem in the world since they cause warming of the atmosphere and climate change which lead to global warming. Gasoline from transportation systems is the main source of GHGs. Frequent acceleration processes in vehicles cause unnecessary fuel consumption. If unnecessary acceleration is prevented, emission of GHGs will be reduced. In this research, unnecessary acceleration is decreased by changing line speed limit with an intelligent method at the highway. We propose an intelligent speed change (ISC) algorithm, which estimates the number of vehicles waiting in the traffic and calculates a speed limit to decrease unnecessary accelerations. A case study is done to reduce the gas emission at Istanbul E-80 highway with Istanbul Technical University City Transportation Simulation (ITUCiTSim) program. Test section is selected as Şekerpinar-Selimpaşa at one direction. An Intelligent Highway is constructed by placing sensors at access road connections. Traffic on the road is modelled by using the main principles of queueing theory. Information that is acquired by sensors is used in determining new speed limit in an intelligent way. It is demonstrated by simulations that the proposed method leads to a decrease in unnecessary accelerations, which results in a subsequent decrease in emitted GHGs. © 2015 BME.

关键词： Gas emissions

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Pallet Detection and Estimation with RGB-D Salient Feature Learning

Pallet Detection and Estimation with RGB-D Salient Feature L...

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2023 China automation Congress, CAC 2023

作者： Wang, Huai Cui, Bo Wen, Xingfen Jiang, Yang Gao, Chongjin Tian, Yibin Co. Ltd. Shenzhen China Guangdong Jaten Robot Automation Co. Ltd. Shenzhen China College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9798350303759

In modern industrial settings, pallets are necessary to logistics transportation. This often necessitates the use of forklifts for pallet handling. However, steer and controlling forklifts require a high level of skill. Traditional methods have struggled to adapt to the rapid pace of businesses development, severely impairing normal production and operational efficiency. We describe a method for automatic detection and positioning of pallets that can be used on Automatic Guided Vehicle (AGV) forklifts. The algorithm initially employs a deep neural network (DNN) approach to learning salient features of the pallets in RGB and depth images, thereby achieving localization. Subsequently, the point cloud of the target area is filtered and matched to obtain the orientation information of the pallets. The entire calculation process can run in real-time on low-scale edge computing devices, and both RGB and depth data come from low-cost TOF cameras. In the experimental section, we study the stability and accuracy of the algorithm in several typical and special scenarios. The results show that our method is robust in normal scenarios and outperforms other methods in special scenarios, with a running time of less than 1300 milliseconds. For the logistics industry, this is a promising solution. © 2023 IEEE.

关键词： Object detection

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Implementation of a Human-Robot Collaboration System Based On Smart Hand Gesture and Speech Recognition

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Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2020年第6期41卷 755-762页

作者： Chen, Shang-Liang Huang, Li-Wu Huang, Chung-Chi Lee, Feng-Chi Huang, Ho-Chuan Chen, Chien-Yu Institute of Manufacturing Information and Systems National Cheng Kung University Tainan70101 Taiwan Department of Automation and Control Engineering Far East University Tainan74448 Taiwan Department of Mechatronics Control Industrial Technology Research Institute Hsinchu310 Taiwan Department of Intelligent Commerce National Kaohsiung University of Applied Sciences Kaohsiung824 Taiwan Computer Science and Information Engineering National University of Tainan Tainan70005 Taiwan

With the development of artificial intelligence technology, the robot arm will be applied in more fields, undertake more work, and become an important assistant of humans. Especially in the manufacturing industry, if a perfect human-robot cooperation (HRC) model can be developed, in which the engineer is responsible for complex operations and monitoring the production process and the robot arm is responsible for highly repetitive and tiring work, the flexibility of the manufacturing process can be improved, the risk of personnel injury can be reduced, and the production line productivity can be improved. To realize the human-robot collaboration system that can be applied in various fields, the technologies of robot arm control, human-robot interaction (HRI), Radio Frequency Identification, machine-to-machine communication, and automatic speech recognition (ASR), etc. are combined in this research. Besides, the HRC in intelligent manufacturing is taken as the demonstration result of this research. In this application example, the human-robot interaction function is realized through smart hand gesture and speech recognition technology, which enables the user to communicate commands to the robot arm most intuitively and easily. The robot arm can execute specific actions, provide processing prompts, or read corresponding motion control command macros according to different commands, to realize various processing contents required by users. © 2020, Chinese Mechanical engineering Society. All right reserved.

关键词： Radio frequency identification (RFID)

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