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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Vasile-Alexandru, Dulgheriu Eugen, Gergely Laura, Coroiu Linawati, Linawati Sogefi Suspensions Eastern Europe Srl Oradea Romania University of Oradea Department of Control Systems Engineering and Management Oradea Romania Udayana University Department of Electrical Engineering Jimbaran Indonesia

ISBN: (纸本)9798350310634

This paper presents the design process of a control system for an automotive assembly line. An assembly line is composed of several zones, which in turn contain several stations. All the control functions are assured by a programmable logic controller. The versatile feature is given by the fact that the assembly line can build two types of vehicles without downtime. The PLC program can switch on the fly to the logic corresponding to the type of vehicle detected. Great importance was given to safety. Additional hardware and software redundancies were used. The human-machine interface has been designed to provide operators with quick accommodation, efficient use and quick and easy navigation through the multiple levels of screens to the desired level of detail. The techniques used in this work increase the productivity and flexibility of the assembly line. Also, measures taken regarding the safety increase confidence in the system and reduce personnel injury or financial loss due to malfunctions or mishandling. © 2023 IEEE.

关键词： Programmable logic controllers

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Discrete-Analog Filters on Switchable Capacitors with a Summator of Input and Output Signals on a Differential Difference Operational Amplifier

Discrete-Analog Filters on Switchable Capacitors with a Summ...

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2024 IEEE Ural-Siberian Conference on Biomedical engineering, Radioelectronics and Information Technology, USBEREIT 2024

作者： Denisenko, Darya Titov, Alexey Prokopenko, Nikolay Butyrlagin, Nikolay Don State Technical University Department Of Scientific Research Rostov-on-Don Russia Southern Federal University Department Of Automatic Control Systems Rostov-on-Don Russia Don State Technical University Department Of Information Systems And Radio Engineering Rostov-on-Don Russia

ISBN: (纸本)9798350362893

Four new modifications of discrete analog filters (DAF) of second order low frequencies (LPF) on switched capacitors, which are protected by the authors of the article as objects of intellectual property, have been developed and studied. In the considered DAF family, unlike other known circuit solutions, summation of input and output signals is provided using a differential difference operational amplifier. As a result, the low-pass filter transmission coefficient in the passband does not depend on the passive elements of the circuit and is always equal to minus one. Buffer amplifiers in two DAF circuits are necessary to reduce the influence of switching circuits on transient processes. In the Micro-Cap environment, computer simulations of four modifications of DAFs were performed, showing that the proposed DAFs have the amplitude-frequency response of a low-pass filter. Sequences of pulses are given that should control four electronic keys, made, for example, on CMOS transistors. Graphs of transient processes of the DAF are shown for an input sinusoidal signal with an amplitude of 1V and a frequency of 1591 Hz, equal to the pole frequency at a switching frequency of electronic keys of 1 MHz. The DAF transmission coefficients for the input sinusoidal signal in different frequency ranges are determined. It has been established that with the selected parameters of the elements in the considered DAFs, which are low-pass filters, the input signal at a frequency of 159.10 kHz is attenuated by more than 60 dB. © 2024 IEEE.

关键词： Low pass filters

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Mean policy-based proximal policy optimization for maneuvering decision in multi-UAV air combat

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Neural Computing and Applications 2024年第31期36卷 19667-19690页

作者： Zheng, Yifan Xin, Bin He, Bin Ding, Yulong Department of Control Science and Engineering Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai China School of Automation Beijing Institute of Technology Beijing China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Autonomous maneuvering decision-making is a crucial technology for Unmanned Aerial Vehicles (UAVs) to take the air domination in modern unmanned warfare. With the advantage of balancing exploration and exploitation, as well as the immediacy of end-to-end output by combining with deep neural network, multi-agent reinforcement learning (MARL) has made remarkable achievements in multi-UAV autonomous air combat maneuvering decision-making (MUAAMD). However, the implementation of effective cooperative policy learning remains a challenging issue for MARL methods with centralized training decentralized execution (CTDE) paradigm. This paper proposes a MARL-based method to improve the performance of cooperation in MUAAMD. Firstly, considering the constraints of dynamic and limited perception for UAVs in the realistic air combat scenario, the MUAAMD problem is formulated based on partially observable Markov game (POMG) model. Secondly, a novel efficient MARL algorithm named the mean policy-based proximal policy optimization (MP3O) is introduced. Specifically, a joint policy optimization mechanism is constructed by estimating the policies of neighboring agents in group as a mean-field approximation while training, which enables both centralized evaluation and improvement of cooperative policy under the CTDE paradigm. Thirdly, by combining with three improvement techniques, a cooperative decision-making framework for MUAAMD based on MP3O is proposed. Empirically, results of simulations and comparative experiments validate the effectiveness of proposed method in promoting cooperative policy learning in resolving MUAAMD problem. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Decision making

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Multi-Objective Optimization of AGV Real-Time Scheduling Based on Deep Reinforcement Learning 42

Multi-Objective Optimization of AGV Real-Time Scheduling Bas...

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42nd Chinese control Conference, CCC 2023

作者： Durst, Philip Jia, Xu Li, Li Tongji University Department of Control Science & Engineering Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China

ISBN: (纸本)9789887581543

Driven by the trend away from mass production towards more customization and individualism, manufacturing is under massive price pressure. Therefore, continuously improving production efficiency and reducing costs have always been the focus of manufacturing companies. With recent advances in Industry 4.0 and industrial Artificial Intelligence (AI), Automated Guided Vehicles (AGVs) have become a very promising technology to support this trend. Nowadays, they are widely used in job shop environments for material handling. However, this promising technology goes along with various new challenges, such as the high dynamics, complexity, and uncertainty of the job shop environment for AGV scheduling. To address these challenges, an adaptive Deep Reinforcement Learning (DRL) based AGV real-time scheduling approach is approached to optimize several efficiency parameters of the overall job shop system. Firstly, the DRL optimization problem is formulated as Markov Decision Process (MDP). The state and action representation, reward, and optimal policy function are described in detail. Then a novel DRL method is further developed to achieve the optimal mixed rule policy. For that, a novel RL algorithm, Proximal Policy Optimization (PPO), is applied to the Deep Neural network (DNN) and implemented in TensorForce, a reinforcement learning package in Python based on TensorFlow. This algorithm is compared to conventional heuristic rules. Furthermore, SimPy, a relatively new discrete-event simulation package in Python, is used to implement the job shop environment. The job shop environment is based on a real-world scenario of a semiconductor factory, which is implemented in a simplified manner and applied to the DRL agent. The results are presented afterward, followed by a feasibility and effectiveness analysis of this approach. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multiobjective optimization

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Some Use Cases of Security Constrained Economic Dispatch Problem for Outage Work Planning Collaboration System 13

Some Use Cases of Security Constrained Economic Dispatch Pro...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Toyoshima, Ichiro Tatekoji, Takashi Mizutani, Ryota Sato, Hiroaki Toshiba Energy Systems & Solutions Corporation Infrastructure Service Development & Design Department Tokyo Japan Toshiba Energy Systems & Solutions Corporation Power Grid System Solutions Engineering Depattment Kawasaki Japan Toshiba Energy Systems & Solutions Corporation Power Control Computer Systems Department Tokyo Japan

ISBN: (纸本)9798350355079

Outage work planning has been essential to maintain the power grid system. For the operators, the planning is troublesome. It is caused by too complex process. The past few years, we have been developing Outage Work planning Collaboration System (OWCS) with some mathematical optimization techniques. Especially, Security Constrained Economic Dispatch(SCED) is extened in some ways to handle various power grid situations. © 2024 IEEE.

关键词： Constrained optimization

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Computational Fluid Dynamics Analysis on the Improvement of Hybrid Savonius-Darrieus NREL S809 at Various Fluid Flows 4

Computational Fluid Dynamics Analysis on the Improvement of ...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Irawan, Elysa Nensy Sitompul, Sandro Yamashita, Ken-Ichiro Fujita, Goro Shibaura Institute of Technology Functional Control Systems Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan Salesian Polytechnic Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

Among all types of vertical axis wind turbines, Savonius and Darrieus are the most popular to study. Savonius has a very large torque and requires a low wind velocity to start the rotation, but the efficiency is below 20%. Meanwhile, Darrieus is not capable of self-starting if the wind velocity is below 4 m/s, but the efficiency is the best among all types of vertical axis wind turbines, which is around 40-45%. So far, many researchers have applied the hybrid Savonius-Darrieus to combine their performances. However, the conventional hybrid Savonius-Darrieus cannot produce an optimal Power Coefficient at a high Tip Speed Ratio. In this study, an improvement in the performance of the hybrid Savonius-Darrieus has been analyzed using the Computational Fluid Dynamics method at various fluid flows. This improvement was carried out with the aim of obtaining a high Moment Coefficient and Power Coefficient in all turbine Tip Speed Ratios compared to the conventional hybrid Savonius-Darrieus. The hybrid model used is the 2-bladed Savonius as the internal rotor and the 3-bladed Darrieus NREL S809 as the external rotor with a rotor radius ratio of 0.5. Improvements were made by changing the turbine rotation mode from hybrid at a low Tip Speed Ratio to single Darrieus at a high Tip Speed Ratio. This method was tested in the wind velocity range of 3-7 m/s using the Realizable k-e turbulence model, enhanced wall treatment. As a result, the best performance occurs at a wind velocity of 7 m/s, which is a Moment Coefficient value of 110% better than single Darrieus at low TSR and a maximum Power Coefficient value of 50% better than conventional hybrid. © 2023 IEEE.

关键词： Computational fluid dynamics

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Experimental Study of Ultra-Wideband Interference Attenuation in a Flexible Printed Circuit Board Cable

Experimental Study of Ultra-Wideband Interference Attenuatio...

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Informatics, Electronics, and Radio engineering (PIERE), International Conference Problems of

作者： Maria A. Samoylichenko Evgeniy S. Zhechev Alexander M. Zabolotsky Television and Control Department Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Microwave and Quantum Radio Engineering Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The performance and functionality of radio electronic equipment depends on various factors including external. One of them is electromagnetic interference, in particular ultra-wideband interference. The paper considers the protection of radio-electronic equipment from the impact of ultra-wideband interference by using modal filtering in flexible printed cables. These cables are feature by a high degree of design and application diversity, which makes them particularly attractive for providing interconnections in modern electronic equipment. This material has a relatively high dielectric permittivity, which allows for a higher per-unit-length mode delay. We fabricated a flexible printed cable to conduct a full-scale experiment and studied it in the frequency and time domains. To validate the experimental studies, we performed quasistatic simulations. The experiment demonstrated that the ultra-wideband interference can be successfully attenuated in the cable, and the maximum attenuation was 3.6 times of the original value, with a bandwidth of 118 MHz. The discrepancy between the simulation and experimental results can be attributed to the unaccounted influence of coaxial-microstrip and coaxial transitions, as well as the discrepancy in dielectric electrical characteristics.

关键词： Time-frequency analysis Electronic equipment Filtering Interference Bandwidth Attenuation Dielectrics Protection Time-domain analysis Ultra wideband technology

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Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 801-811页

作者： Antonio Bono Luigi D'Alfonso Giuseppe Fedele Veysel Gazi IEEE Department of Informatics ModelingElectronics and Systems EngineeringUniversity of CalabriaRende 87036Italy Dept.Electrical and Electronics Eng. Faculty of EngineeringMarmara UniversityIstanbul 34722 Department of Control and Automation Engineering Faculty of Electrical and Electronics EngineeringYildiz Technical UniversityEsenler 34220Turkey

In this paper we focus on the target capturing problem for a swarm of agents modelled as double integrators in any finite space *** agent knows the relative position of the target and has only an estimation of its velocity and *** that the estimation errors are bounded by some known values,it is possible to design a control law that ensures that agents enter a user-defined ellipsoidal ring around the moving *** know the relative position of the other members whose distance is smaller than a common detection ***,in the case of no uncertainty about target data and homogeneous agents,we show how the swarm can reach a static configuration around the moving *** simulations are reported to show the effectiveness of the proposed strategy.

关键词： Agents-based systems cooperative control swarms target-capturing

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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset 20

Performance Comparison of Lightweight CNN Models for Drone C...

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20th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Zufar, Rifqi Nabila Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering 254 Phayathai Road Bangkok Pathumwan10330 Thailand

ISBN: (纸本)9798350310467

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural network Pipeline which has a Convolution Neural network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work. © 2023 IEEE.

关键词： Drones

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Design and Implementation of a Triple Syringe Using Smart Monitoring 11

Design and Implementation of a Triple Syringe Using Smart Mo...

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11th IEEE Conference on systems, Process and control, ICSPC 2023

作者： Alrikabi, Hayder Alrikabi, Amjad Alazawi, Aws Humaidi, Amiad Jaleel Amer, Hayder Kareem Electrical Engineering Technical College Middle Technical University Bagdad Iraq University of Technology Control and Systems Engineering Department Bagdad Iraq Ministry of Trade Bagdad Iraq

ISBN: (纸本)9798350340860

Accurate microfluidic flow control is essential for many lab-on-a-chip and point-of-care diagnostic applications. Syringe pumps are common pieces of benchtop equipment with this functionality. These systems are too expensive to be practical for use at research institutions with limited funding. 3D printing allows for the creation of a wide variety of alternative syringe pump systems;however, these systems lack the adaptable control and flow rate characterization necessary for use in microfluidic devices. Here we provide a straightforward and cheap method for managing several syringe pumps. It also demonstrates how to establish flow control and how to characterize the volume flow rates for a variety of syringe volumes. © 2023 IEEE.

关键词： Flow control

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