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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

共 3888 条记录，以下是711-720 订阅

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Enhanced Direct Torque control of Dual Inverter-Fed Open-End Winding Induction Motors Using Lookup Table Strategy 3

Enhanced Direct Torque Control of Dual Inverter-Fed Open-End...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kumar, Amit Behera, Ranjan Kumar Indian Institute of Technology Dept. of Electrical Engineering Patna India

ISBN: (纸本)9798350304732

In this study, a unique method for direct torque control (DTC) is introduced for an open-end winding induction motor (OEWIM) operated using a dual inverter setup. This innovative technique employs a lookup table (LUT) based strategy, enabling precise and swift control of torque and simultaneously reducing switching losses. Utilizing a dual inverter design, this approach facilitates separate control over the motor's two winding sets, leading to increased flexibility and efficiency. By integrating direct torque control with the LUT methodology, the need for intricate calculations during live control is effectively eliminated. The efficiency of this new method is confirmed through comprehensive simulations, which demonstrate a decrease in torque ripple, enhanced dynamic response, and improved overall system efficiency. This LUT-based DTC strategy emerges as a viable and efficient solution for achieving accurate torque control in OEWIM systems powered by dual inverters, making it well-suited for advanced performance-driven applications. © 2023 IEEE.

关键词： Direct torque control (DTC) Dual Inverter Look Up Table (LUT) Open end winding induction motor (OEWIM)

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Cheetah Optimizer based PIDA controller Design for Cyber-physical Power System under Cyberattacks and Uncertainty 3

Cheetah Optimizer based PIDA Controller Design for Cyber-phy...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kumar, Mahendra Altaf, Aatif Biswas, Deblina Dr. B R Ambedkar National Institute of Technology Jalandhar Department of Instrumentation and Control Engineering Punjab Jalandhar India

ISBN: (纸本)9798350304732

This paper presents a cheetah optimizer (CO) based PIDA controller scheme for frequency regulation of cyber-physical microgrid. CO is recently proposed nature inspired optimization algorithm. CO benefits in the terms of global optimization and few design parameters. The frequency control is important concerned regarding balance between generation of power and power demand in power system with high integration of the renewable-energy resources (RESs). Currently, power system is more dominated on the communication networks. So, the cyber-attacks have been raised in the current power system. The proposed control design is mitigated the effects of parametric uncertainty, cyber-attack, time-delays and random load-demand. Analysis based on simulation studied reveals the benefits of proposed LFC design under various practical cases. © 2023 IEEE.

关键词： Cheetah optimizer Cyber-attacks Cyber-physical system Load frequency control PIDA controller

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Vertical Take-Off and Landing System control Using Deep Reinforcement Learning 3

Vertical Take-Off and Landing System Control Using Deep Rein...

引用

3rd international conference on Emerging Smart Technologies and Applications, eSmarTA 2023

作者： Al-Radhi, Haitham M. El-Metwally, Khaled A. Cairo University Electrical Power Engineering Dept. Giza Egypt

ISBN: (纸本)9798350305333

This paper introduces the utilization of a controller based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm for the Vertical Take-Off and Landing (VTOL) system control. The TD3 algorithm combines deep neural networks and actor-critic reinforcement learning techniques, enabling it to learn optimal policies directly from interactions with the environment. MATLAB and Simulink are used to provide an efficient platform for training and analyzing the performance of the TD3-based controller. This study compares the performance of the TD3-based controller to that of the PID controller subject to step changes and external disturbances. Results obtained by applying the TD3-based controller to one degree of freedom VTOL system demonstrate the effectiveness of the proposed control. The results, also, indicate that the proposed controller performance is better than the PID controller, with no overshoot and approximately four times faster settling time. Also, the proposed controller shows robustness against disturbances under various conditions. © 2023 IEEE.

关键词： controllers

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Design of Sapling Planting Robot 3

Design of Sapling Planting Robot

引用

3rd international conference on Mechanical Design and Simulation, MDS 2023

作者： Shan, Jiajie Cai, Changji Beijing China International School in Dongguan Guangdong China

ISBN: (纸本)9781510664890

Rather than open-air planting, small and medium-sized farm facilities dominate agricultural production in China. The dimensional characteristics of these facilities include a low ceiling height and a narrow width. With these dimensional parameters, field agricultural robotics could be improved in these facilities, leading to hand transplanting by farmers. To meet the demands of small and medium-sized agrarian facilities for sapling transplantation, a sapling planting robot has been developed whose functions are to plant saplings semiautomatically to meet the needs of these facilities. All mechanisms were driven by electric power due to environmental sustainability. Throughout this paper, the main focus will be on the design of the mechanical system used. Hardware components of this machine include the chassis, sapling feeding unit, transmission system, and duckbill planter. This machine's hardware design has been completed, along with the design of its central control system using a PLC (programmable logic controller). The sapling planting robots were tested at 10m/s with the highest success rate measured at 96.25%, respectively. In conclusion, the machine is capable of planting well and has an effective control system. © 2023 SPIE.

关键词： Machine design

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An engineering control Method of SCR Denitration System 3

An Engineering Control Method of SCR Denitration System

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Zenghui, Ma Liangang, Wang Feng, Liang Hainan Tropical Ocean University Yazhou Bay Innovation Institute Sanya China Huaneng Lanzhou Newarea Cogeneration Company Lanzhou China Xi'an Thermal Power Research Institute Co. Ltd Xi'an China

ISBN: (纸本)9798350341546

The SCR denitration system has dead-time and nonlinearity, so a Fractional-order PIλDμ control method is proposed. The second-order linear active disturbance rejection control(LADRC) can be seen as a structure of a conventional PID and a second-order filter connected in series. However, the tuning ability of conventional PID is limited. Using fractional order PIλDμ and second-order filters are connected in series to improve ordinary cascade PID control, and the control system parameters are tunned using an improved Imperial Competition algorithm. The simulation results show that the fractional order PIλDμ and second-order filter in series can better reproduce the advantages of active disturbance rejection control (ADRC), and the control performance is better than ordinary cascade PID and the structure of conventional PID and second-order filter in series. The fractional order PIλDμ control system has a simple structure and easy tuning, which is worth promoting in engineering applications. © 2023 IEEE.

关键词： Fractional order PIλDμ Imperial competition LADRC SCR Second-order filter

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Crane System Based on Arduino control of Car Logistics Handling 3rd

Crane System Based on Arduino Control of Car Logistics Handl...

引用

3rd international conference on Information control, Electrical engineering, and Rail Transit, ICEERT 2023

作者： Zhou, Dan Pan, Yicheng School of Intelligent Manufacturing Panzhihua University Panzhihua617000 China

ISBN: (纸本)9789819788903

This paper presents the design of a logistics handling truck equipped with an intelligent crane device based on visual technology. The truck employs the Arduino Mega 2560 as its processor to control both horizontal and longitudinal movements. The identification and classification of items are achieved through the utilization of a Raspberry Pi and a micro camera. The material retrieval and delivery process are facilitated by a turbine suction cup mechanism. The unloaded materials are accurately positioned using a fixed track control system. Experimental testing demonstrates the stability of the device and verifies its capability to effectively perform material retrieval and delivery operations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cranes

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Cheetah Optimizer based PID controller Design for Islanded AC Microgrid under FDI Cyber-attack 3

Cheetah Optimizer based PID Controller Design for Islanded A...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kumar, Mahendra Altaf, Aatif Kumar, Anil Dr. B R Ambedkar National Institute of Technology Jalandhar Department of Instrumentation and Control Engineering Punjab Jalandhar India

ISBN: (纸本)9798350304732

In this paper a cheetah optimizer (CO) based PID controller design scheme for frequency regulation of an islanded AC microgrid is presented. The frequency control is important concerned regarding balance between power generation and power demand in power system with high integration of the renewable-energy resources (RESs). Currently, power system is more dominated on the communication networks. So, cyberattacks have been raised in the current power system networks. CO is recently proposed nature inspired optimization algorithm. CO benefits in the terms of global optimization and few design parameters. The proposed control-design is mitigated the effects of parametric-uncertainty, cyber-attack and random load demand. The analysis based on simulation studied reveals the benefits of proposed LFC design under various practical conditions. © 2023 IEEE.

关键词： Cheetah optimizer Cyber-physical system FDI Cyber-attack Load frequency control Microgrid PID controller

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Research on Permanent Magnet Synchronous Motor control Based on Extended Kalman Filter Algorithm 3

Research on Permanent Magnet Synchronous Motor Control Based...

引用

3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Yuan, Wenhui Zhang, Bingqiang Men, Shuaicheng Yanshan University School of Electrical Engineering Qinhuangdao China

ISBN: (纸本)9798350382426

In recent years, permanent magnet synchronous motor drive systems have gradually become a hot topic in high-performance industrial applications. As a new type of motor, PMSM has broad application prospects in various fields. There are many existing PMSM sensorless control technologies, but currently PMSM The main problems of motor control methods include slow response, inability to resist interference, low estimation accuracy, and large errors. Considering the instability of parameters during actual motor operation, coupled with the presence of various interference factors, PMSM control will be further complicated. The difficulty cannot be adjusted accurately. This article proposes an extended Kalman filter method and designs the implementation steps of the algorithm in detail. The extended Kalman filter algorithm adds the fuzzy module function and does not linearize the nonlinear function, so it will not lead to an increase in errors and can be effectively. To improve control performance and accuracy, use MATLAB/Simulink tools to build a PMSM control system model based on EKF, and conduct relevant debugging and control of control functions and parameters. Analyze parameters such as position angle response, speed response, etc., and obtain waveform diagrams. With the simulation diagram, the simulation results, response curves, and error curves were analyzed and summarized, verifying the rationality and effectiveness of the extended Kalman filter algorithm in estimating the PMSM speed. © 2023 IEEE.

关键词： component EKF fuzzy control permanent magnet synchronous motor sensorless control speed estimation UKF

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Performance Improvement of Sliding Mode controller of BLDC Drive for EV Applications 3

Performance Improvement of Sliding Mode Controller of BLDC D...

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3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Rani, V. Usha Saranga, Prem Sai Vattem, Rohith Shekar Angadala, Roshan Yadav Padhiyar, Sarthak Yogesh Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

ISBN: (纸本)9798350322842

BLDC motors are becoming popular in low and medium power drive applications, position control, and also servo applications. Because of its very smooth speed control within a specified limit, high efficiency, and low maintenance cost, this motor is widely accepted for wide range of applications. The motor has excellent linear speed torque characteristics for an electromechanical actuator. It is possible to achieve a good speed response from the machine using simple control theory. The various control principles used in BLDC motor drives to control the speed and currents, necessitate extremely complex calculations, so DSP controllers must be incorporated. This will significantly increase the system's cost. In this study, a simple but cost-effective solution for improving the performance of a BLDC motor is proposed. The scheme employs a digital on-off or hysteresis band controller that is based on simple logic. This study also includes hardware implementation, which is based on a low - cost microcontroller. © 2023 IEEE.

关键词： Position control

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Transformative control Optimization in PMSG-Based Wind Energy Systems: A Deep Reinforcement Learning Approach 3

Transformative Control Optimization in PMSG-Based Wind Energ...

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3rd international conference on Electrical Machines and Drives, ICEMD 2023

作者： Khademhamedani, Bagher Izadi, Masoud Izadi, Nahid Azarshab, Amin Najari, Ali Zaker, Behnam Hamedan University of Technology Department of Electrical Engineering Hamedan Iran Hamedan Azad University Department of Electrical Engineering Hamedan Iran Petroleum University of Technology Instrumentation and Automation Engineering Department Iran Sapienza University of Rome Department of Electrical Engineering Roma Italy Politecnico di Torino Department of Automotive Engineering Torino Italy

ISBN: (纸本)9798350393743

This paper addresses the optimization of control strategies in Permanent-Magnet Synchronous Generator (PMSG)-based wind energy systems, with a specific focus on the Proportional-Integral (PI) controller. Traditionally, PI controller coefficients are optimized using methods like the response surface method and artificial neural networks. However, this research introduces a transformative approach by applying deep reinforcement learning (DRL), inspired by pioneering work in continuous control. The paper compares DRL with established optimization methods such as Particle Swarm optimization (PSO), Krill Herd, and Grey Wolf. DRL exhibits adaptability to dynamic environments, continuous learning, effective handling of complex nonlinearities, autonomous decision-making, and real-time adaptation. These qualities position DRL as a versatile and efficient choice for optimizing control in PMSG-based wind energy systems. The paper is organized into sections, including system modeling and control methodology, exploration of the Krill Herd algorithm, and the empirical comparison of DRL with the Grey Wolf optimization algorithm. The findings emphasize DRL's transformative contributions to wind energy research, marking a pioneering step towards enhancing efficiency and sustainability in PMSG-based wind energy systems. © 2023 IEEE.

关键词： Reinforcement learning

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