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检索条件"任意字段=7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017"

共 396 条记录，以下是91-100 订阅

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Modelling and control of Dynamical Ball and Beam system Using SA Tuned PIDA and PIaD controllers 7

Modelling and Control of Dynamical Ball and Beam System Usin...

引用

7th ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2021

作者： Sehgal, Karan Harsh Delhi Technological University Dept. of Electrical Engineering Delhi110042 India

ISBN: (纸本)9781665428491

this paper elucidates the procedure for modelling and composition of a traditional PID controller and its modified versions to attain a precise and controlled output for a Ball and Beam system. To derive the desired behavioral response, three control techniques, PID, PIDA and PIσD are designed, by accurately calibrating the respective gain coefficients by applying the Simulated Annealing (SA) methodology. the experimental outcomes corresponding to unit step, square wave, square wave with pulse disturbance and asymmetric sawtooth input waveforms, relating to the proposed controllers were procured using simulations. Attributive output features such as peak overshoot, rise time, settling time and the value of the performances index ITAE were measured. Results attained confirmed that SA-PIDA presents greatest potency, followed by SA-PID and SA-PIσD, respectively. © 2021 ieee.

关键词： Simulated annealing

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Dynamically Adaptive Gain Super Twisting Sliding Mode control for Extending the range of Hydrogen Fuel Cell based Electric Vehicles 7

Dynamically Adaptive Gain Super Twisting Sliding Mode Contro...

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7th ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2021

作者： Venkatesh, Appalabathula Nalinakshan, Shankar Kumar, S Phani The National Institute of Engineering Electrical and Electronics Engineering Mysuru India Mechanical Engineering ANITS Visakhapatnam India

ISBN: (纸本)9781665428491

the sustainable development towards green energy enforces this proposed research paper which works on the hydrogen carrier eco-friendly Fuel Cell Based Vehicles (HFCBV). Proton exchange membrane fuel cell stack system is implemented to develop the electric fuel cell reference current which is the desired input to the next energy conversion process to drive the FC drive. An intelligent bi-directional DC-DC converter is proposed to operate the hybrid backup energy source and to enhance the power and energy density capabilities even under the hydrogen carrier energy has insufficient energy to drive the remaining circuit. An efficient and reliable estimation method is applied to obtain the optimum power and energy densities. A new dynamical adaptive sliding mode second-order sliding mode controller is applied with a new strategy to get the better adaptive control system, which mainly reduces the chattering effect which is introduced into the control system adaptive path while evaluating the performance of intelligent power converters and dynamic vehicles due to their dynamical and robust behaviour in nature. the developed fuel cell stack controlling unit along with the power and energy density management system is integrated into the permanent magnet synchronous motor along with the drive circuit which intern operates the HFCBV dynamic modelling unit. © 2021 ieee.

关键词： Sliding mode control

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Advancement of control Techniques in Deregulated Automatic Generation control: An Overview 7

Advancement of Control Techniques in Deregulated Automatic G...

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7th international conference on Advanced computing and Communication systems, ICACCS 2021

作者： Verma, Rishabh Kumar, Adarsh Singh, Diljinder Sliet Longowal Department of Electrical and Instrumentation Engineering Punjab 148106 India

ISBN: (纸本)9781665405201

the power system operation needs to keep the harmony among the power generation and demand, failing which will leads to sudden rise and fall of frequency as well as transient tie-line power. AGC is one of the significant control phenomenon in power system, for control of frequency and power in an interconnected system. this paper presents the details of issues related with specific controlling techniques used in AGC at the past and with what control we can rectify those issues in future. this paper also presents a brief review of the controlling methods that has been exercised to automatic generation control (AGC) from the primeval time to the modern day. Review related to literature work of AGC in deregulated environment has been presented. © 2021 ieee.

关键词： Electric frequency control

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Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid

Embedded Machine Learning for Solar PV Power Regulation in a...

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ieee international conference on Power and Energy Applications (ICPEA)

作者： Yongli Zhu Linna Xu Jian Huang School of System Science and Engineering Sun-Yat Sen University Guangzhou China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

this paper presents a machine-learning study for solar inverter power regulation in a remote microgrid. Machine learning models for active and reactive power control are respectively trained using an ensemble learning method. then, unlike conventional schemes that make inferences on a central server in the far-end control center, the proposed scheme deploys the trained models on an embedded edge-computing device near the inverter to reduce the communication delay. Experiments on a real embedded device achieve matched results as on the desktop PC, with about 0.1ms time cost for each inference input.

关键词： Photovoltaic systems Performance evaluation Reactive power control Computational modeling Microgrids Regulation Inverters Servers Reliability Ensemble learning

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Modeling and Analysis of Average Torque control Strategy on Switched Reluctance Motor for E-mobility 7

Modeling and Analysis of Average Torque Control Strategy on ...

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7th ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2021

作者： Pillai, Aishwarya Anuradha, S. Gangadharan, K.V. Umesht, Pruthviraj Bhaktha, Sandesh National Institute of Technology Karnataka Department of Mechanical Engineering Mangalore Surathkal India

ISBN: (纸本)9781665428491

this paper investigates the Average Torque control (ATC) approach for an electric scooter application using a 250W, Outer-rotor type, 8/6 Switched Reluctance Motor (SRM). It also employs a search algorithm based on a multi-objective function to determine optimum excitation angles to increase SRM drive performance. the MATLAB/Simulink environment is used to model and analyze the SRM drive control system. the simulation results demonstrate the drive system's smooth efficiency with reduced torque ripple over a speed range due to the optimum turn-on and turn-off angle selection. the ATC technique is selected as an ideal alternative for the SRM drive control system against other control strategies due to the wide-speed range application in an electric scooter. © 2021 ieee.

关键词： Torque control

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Adaptive Observer-Based Inverse Optimal control of a Class of Second-Order Euler-Lagrange systems 7

Adaptive Observer-Based Inverse Optimal Control of a Class o...

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7th ieee international conference on Cloud computing and Intelligence systems, CCIS 2021

作者： Cao, Zheng Meng, Fancheng Lanzhou University of Technology College of Electrical and Information Engineering Lanzhou730050 China

ISBN: (纸本)9781665441490

An adaptive observer-based Inverse optimal controller (AOC) is proposed for a class of second-order Euler-Lagrange systems with various uncertainties in the dynamic models. Specifically, the proposed AOC adopts one NN-based robust adaptive inverse optimal controller to approximate the nonlinear unknown system and generate optimal control inputs, while the other NN-based adaptive observer is established to estimate the unmeasured system state. the developed AOC is proved to achieve semi-global asymptotic optimal tracking (by inverse optimal controller) through Lyapunov stability analysis. Simulation analysis shows that the AOC has small tracking error even with the observed information in the presence of uncertain disturbances. © 2021 ieee.

关键词： Lyapunov methods

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Energy efficient resource allocation and trajectory optimization in UAV-assisted mobile edge computing system 7

Energy efficient resource allocation and trajectory optimiza...

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7th international conference on Big Data computing and Communications, BigCom 2021

作者： Chen, Shuaibing Shi, Lei Ding, Xu Lv, Zengwei Li, Zhehao HeFei University of Technology School of Computer Science and Information Engineering Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9781665442527

Mobile edge computing(MEC) has been considered as a promising technology with the ever-increasing computation demands, which offloads computation-intensive tasks to MEC servers to meet the low latency and high bandwidth requirements of the tasks. But considering the dynamic UEs, nonuniform distribution of task requests and the limitation of the dynamic of the fixed deployment of the edge severs, we investigate a Unmanned Aerial Vehicles (UAVs)-assisted edge computing system in this paper, where each UAV is equipped with server to assist local edge servers. Utilizing the mobility of UAVs provides flexible edge computing services. In this model, tasks are executed on the local edge server first. When the computing resources of the local edge server cannot meet the computational requirements of the task, the system will dispatch the UAVs. Task will be offloaded to UAV for execution. Considering that the endurance of UAVs is a tough problem under the current technical level. Our aim is to minimize the energy consumption of UAVs under the premise of satisfying the UEs demands as much as possible to achieve a higher resource utilization rate. We propose Tasks Offloading Policy Algorithm(TOPA) and Online UAVs Dispatching Base on the Shortest Distant Algorithm(ODSH). Simulation results show the effectiveness of the proposed of algorithms. © 2021 ieee.

关键词： Energy utilization

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Compliance control of a Lower Limb Rehabilitation Robot in Mirror therapy 7

Compliance Control of a Lower Limb Rehabilitation Robot in M...

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7th international conference on Mechatronics and Robotics engineering (ICMRE)

作者： Cheng, Gaoxin Xu, Linsen Chinese Acad Sci Hefei Inst Phys Sci Hefei Peoples R China Univ Sci & Technol China Hefei Peoples R China Anhui Univ Sci & Technol Huainan Peoples R China

ISBN: (纸本)9781665414890

Robot-assisted rehabilitation at lower limbs have been developed extensively. Mirror therapy is applied for hemiparesis rehabilitation in this paper. the robotic system is designed which includes a sitting/lying lower limb rehabilitation robot and an attitude and heading reference system. the trajectory of the healthy limb is defined as the reference training trajectory of the robot which drives the impaired limb, then mirror image movement between patient's bilateral limbs is established. Human-robot interaction compliance control is the major concern regarding training safety. the hierarchy control frame is proposed which consists of a low-level trajectory tracking loop and a high-level admittance control loop. Experiment results validate the feasibility of the proposed scheme in providing compliance rehabilitation training.

关键词： compliance control mirror therapy lower limb rehabilitation robot

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Environment control using Forecasting Algorithm by Real Time Data Analysis for Automatic Cultivation system 7

Environment Control using Forecasting Algorithm by Real Time...

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7th international conference on engineering, Applied Sciences and Technology, ICEAST 2021

作者： Juleang, Pakorn Mitatha, Somsak Ramkhamhaeng University Faculty of Science Electronics Technology Department Bangkok10240 Thailand King Mongkut's Institute of Technology Ladkrabang Hybrid Computing Research Laboratory Faculty of Engineering Bangkok10520 Thailand

ISBN: (纸本)9781665441223

A new automatic cultivation system was proposed using a forecasting algorithm for environmental control. Information used for the forecast was taken from real time data obtained by a wireless sensor system. the objective was the automation of suitable environmental cultivation methods. the proposed forecasting algorithm used historical data to predict future environmental control according to its goals. A real system was implemented and constructed to test the hypothesis. Results showed that the system had the required features. Environmental controls of the original system were compared with the proposed algorithm according to the created thresholds. the proposed forecasting algorithm controlled humidity in the soil at 98.26%, while the original system recorded do 69.33%, with humidity in the air controlled at 93.87% compared to the original system at 48.96%. this algorithm will be very useful to promote sustainable agriculture. © 2021 ieee.

关键词： Cultivation

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A Robust control Scheme for an Experimental Hydraulic system 7

A Robust Control Scheme for an Experimental Hydraulic System

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7th international conference on engineering and Emerging Technologies (ICEET)

作者： Skarpetis, Michael G. Koumboulis, Fotis N. Tzamtziou, Klaous A. Michopoulos, Paschalis Natl & Kapodistrian Univ Athens Gen Dept Athens Greece Technol Educ Inst Sterea Ellada Dept Automat Engn Chalkis Greece

ISBN: (纸本)9781665427142

In this paper, a robust proportional-integral-derivative (PID) controller is computed for adjusting the position of the piston rob of an experimental hydraulic servo actuator under different pressure operating conditions. Using position and pressure measurements, mathematical models of the hydraulic actuator are obtained through parameter identification techniques for different pressure operating conditions. the derived models are unified to an uncertain model. A dynamic PM controller is calculated using a robust stabilizability algorithm appropriately extended using parallel computing techniques. Many experiments were performed under various supply pressures. the experimental results show that the proposed PM controller can work properly under pressure variation.

关键词： Robust control hydraulic actuator real time experiment

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