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2023 International conference on computer, Artificial Intelligence, and control Engineering, CAICE 2023

作者： Achentalika, Isaac Thomas Wang, Liang College of Mechanical and Electronics Engineering Shandong University of Science and Technology Shandong Province Qingdao266590 China

ISBN: (纸本)9781510665040

This paper describes a design for a new type of Remotely Operated Vehicle (ROV) and a system to control it. The ROV and its control system are part and parcel. The control part of the ROV includes the Data Acquisition Program. The Data Acquisition Program is a GUI-based computer program that allows the operator of the ROV to visualize telemetry data from the ROV. It provides near-instantaneous communication with the ROV. The computer-aided design of the prototype is made using Autodesk’s Fusion 360. Then the design was converted to Stereolithography (STL) format and passed through a slicing software called Cura in preparation for 3D printing. An Ender 3D printer was used to manufacture the parts of the design, using Polylactic Acid Thermoplastic Polymer. Computational Fluid Dynamics is conducted to analyze the fluid hydrodynamics (water and pressure flow rates) around the hull of the remotely operated vehicle and the drag force acting on it. Several experimental results have shown the effectiveness of the remotely operated vehicle design. © 2023 SPIE.

关键词： Computational fluid dynamics

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Research and Applications of Autonomous Driving Technology Based on Mechanical and Electrical control

Research and Applications of Autonomous Driving Technology B...

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2024 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

作者： Tao, Yufei Luo, Lan University of Debrecen Debrecen Hungary Central South University Changsha China

ISBN: (纸本)9798350378917

With the rapid development of technology, autonomous driving technology has gradually become a research hotspot in the automotive industry. This article proposes a new design scheme for an intelligent vehicle autonomous driving control system. The scheme involves modifying the steering, throttle, and braking systems of manned vehicles with appropriate mechanical structures, installing relevant automatic control devices, and establishing distributed connections between each system and the upper intelligent control computer through CAN. This article focuses on the autonomous needs of intelligent driving wire control system technology and completes the selection of various actuators for the chassis wire control system. Test experiments and vehicle integration tests have shown that this design scheme can achieve the goal of precise control of the underlying subsystems by the upper control computer. The system has high reliability, and the tracking error of the parking trajectory is within the allowable range. The parking path designed based on curves is effective. This article lays the foundation for further research on unmanned and intelligent control of vehicles based on electromechanical technology. © 2024 ieee.

关键词： Automotive industry

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Policy Transfer with Maximum Entropy Deep Reinforcement Learning for Real Cart-Pole control 20

Policy Transfer with Maximum Entropy Deep Reinforcement Lear...

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20th ieee International conference on Intelligent computer Communication and Processing conference, ICCP 2024

作者： Paleu, Tudor-Andrei Burlacu, Adrian Pascal, Carlos Gheorghe Asachi Technical University of Iasi Department of Automatic Control and Applied Informatics D. Mangeron 27 Iasi700050 Romania

ISBN: (纸本)9798331539979

Transferring learned controllers from simulation to real-world domains is rarely observed for deep reinforcement learning applications, even physics-based tasks like the inverted pendulum being particularly difficult when transitioning to the physical world. Model-free controllers based on deep reinforcement learning have been a successful choice for many tasks. They are preferred over model-based ones due to their adaptive capability to situations not included in the initial design and for requiring less advanced expertise in control. This paper aims to apply learning-based model-free control to a real cart-pole system using a deep reinforcement learning policy transferred from simulation to a real environment without any fine-tuning involved with the dynamics model. In a simulation, the baseline deep Q-learning, an off-policy model-free algorithm, delivered an inferior performance on the Cart-Pole environment compared to the soft Q-learning, keeping the same hyper-parameters and ensuring reproducible outcomes. In the real experimental setup, besides a PD controller feasible for under-actuated systems, the soft version policy was transferred to accelerate the design process and enhance the control. Additionally, limitations related to the brittle robustness of PD controllers and the absence of accurate models in the learning phase are studied and addressed. © 2024 ieee.

关键词： Deep reinforcement learning

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Practical Application of computer Information systems in Enterprise Performance Management 2

Practical Application of Computer Information Systems in Ent...

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2nd International conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Ke, Meisheng School of Business Administration Wuhan Business University Hubei Wuhan China

ISBN: (纸本)9798350382952

With the development of information digitization, the target requirements of performance management systems are constantly being optimized. In response to the gradual expansion of business operations in current enterprises, the architecture model based on computer-aided technology can effectively respond to the increasingly complex enterprise performance management system. This article studies the design of an enterprise performance information management system using the MVC (Model View controller) architecture pattern. Through a questionnaire survey and simulation experiment analysis of the performance system, combined with the optimization of enterprise performance management evaluation indicators, the following conclusion is drawn: Enterprise managers have a higher satisfaction rating for the performance information management system using the MVC architecture pattern, and the return rate on enterprise production and operation is 16% higher than traditional performance management methods. This study provides practical guidance for enterprises, promotes the digital transformation of performance management, and strengthens the scientificity and efficiency of business decision-making. © 2024 ieee.

关键词： Decision making

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Deep Reinforcement Learning-Enabled Adaptive Forecasting-aided State Estimation in Distribution systems with Multi-Source Multi-Rate Data

Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aid...

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2024 ieee Power and Energy Society Innovative Smart Grid Technologies conference, ISGT 2024

作者： Zhang, Ying Zhao, Junbo Shi, Di Chung, Sungjoo Montana State University Department of Electrical and Computer Engineering BozemanMT59717 United States University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States New Mexico State University Department of Electrical and Computer Engineering Las CrucesNM88003 United States

ISBN: (纸本)9798350313604

Distribution system state estimation (DSSE) is paramount for effective state monitoring and control. However, stochastic outputs of renewables and asynchronous streaming of multi-rate measurements in practical systems largely degrade the estimation performance. This paper proposes a deep reinforcement learning (DRL)-enabled adaptive DSSE algorithm in unbalanced distribution systems, which tackles hybrid measurements with different time scales efficiently. We construct a three-step forecasting-aided state estimation framework, including DRL-based parameter identification, prediction, and state estimation, with multi-rate measurements incorporating limited synchrophasor data. Furthermore, a DRL-based adaptive parameter identification mechanism is embedded in the prediction step. As a novel attempt at utilizing DRL to enable DSSE adaptive to varying operating conditions, this method improves the prediction performance and further facilitates accurate state estimation. Case studies in two unbalanced feeders indicate that our method captures state variation with multi-source multi-rate data efficiently, outperforming the traditional methods. © 2024 ieee.

关键词： Phasor measurement units

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Innovative design for enhanced adaptability and performance of soft inchworm robot 4

Innovative design for enhanced adaptability and performance ...

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4th International conference on computer, control and Robotics (ICCCR)

作者： Behzadfar, Mahtab Song, Ki-Young Beijing Inst Technol Dept Mech & Elect Syst Engn Beijing Peoples R China

ISBN: (纸本)9798350373141;9798350373158

The simplicity of design in soft robots holds significant importance. This study introduces a novel and straightforward design for a soft inchworm robot, enhancing reliability, controllability, energy-efficiency, and cost effectiveness. The distinctive feature of our design lies in leveraging friction variations, allowing the soft inchworm robot to achieve bidirectional movements, both forward and backward, using a single air tubing. Manipulating the pressure and frequency serves as the primary mechanism for controlling the direction of the inchworm robot. The efficiency of our approach is substantiated through extensive testing on diverse surfaces, with a specific focus on direction and velocity. This comprehensive testing simulates various environmental conditions characterized by various frictional properties. The singular pneumatic pathway employed in our design not only mitigates potential issues related to tube entanglement and increased system complexity but also highlights the practicality and elegance of our approach in comparison to traditional multi-tube pneumatic systems.

关键词： Soft inchworm robot Bi-directional movement Simple design 3D printing Bio inspiration

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The design of DC Motor Driving control system for Monorail Lifting Weight Walk Training Device 4

The Design of DC Motor Driving Control System for Monorail L...

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4th International conference on Electronic Information Engineering and computer Science, EIECS 2024

作者： Zhang, Zhisen Wang, Tianzhi Xie, Aobing Yang, Tao The Intelligent Manufacturing School Panzhihua University Panzhihua China

ISBN: (纸本)9798331531409

With the development of aging, more and more people need to carry out lower limb rehabilitation training, lower limb rehabilitation training is mainly carried out through lifting weight walk training device. In this paper, the design of monorail lifting weight walk training device deploys the DC motor to provide original power, through the speed reducer, sprocket and drive wheel to drive the housing to move. The weight lifted is adjusted manually and sensed by a tension sensor. The angle between the lifting rope and the vertical line is real-timely obtained by an angle sensor which is deployed as the feedback position signal of the control system. The STM32 chip is deployed as the core of the control system which carries out the tasks of data acquisition, processing information and exporting the PWM by the control software. The control system is applied to the monorail lifting weight walk training device. The results show that the control system performs well and applicable to the monorail lifting weight walk training device. © 2024 ieee.

关键词： DC motors

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Intelligent English Automatic Translation system Based on TTS Technology 3

Intelligent English Automatic Translation System Based on TT...

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3rd International conference on Artificial Intelligence and Autonomous Robot systems, AIARS 2024

作者： Sun, Xiyang Wang, Zhuo School of Foreign Languages Dalian University of Science and Technology Liaoning Dalian China

ISBN: (纸本)9798350376173

The intelligent English automatic translation system was built based on TTS technology. In the development process of the system, careful selection and configuration of text to speech converters and speech processors were carried out, and TTS technology was cleverly integrated, fully covering key aspects such as text analysis, prosody control, and speech synthesis. In order to better meet the specific requirements of English translation, the system has specially designed several key components, including but not limited to automatic segmentation and annotation of continuous speech, pre prosodic control of speech, speech synthesis, and optimization and reduction of speech databases. These carefully designed hardware units and software modules were integrated with each other, enabling the intelligent English automatic translation system to operate efficiently and smoothly. Through experiments, it can be seen that the intelligent English automatic translation system based on TTS technology performed well in terms of accuracy, ranging from 86.11% to 95.27%, which was significantly better than ordinary intelligent translation systems and traditional translation systems. This result fully proved that this system had a relatively high level of accuracy in processing English speech translation. The comprehensive design of the system has not only improved translation quality, but also laid the foundation for the development of future intelligent translation technology. © 2024 ieee.

关键词： computer aided language translation

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Augmented Neural Lyapunov control

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ieee ACCESS 2023年 11卷 67979-67986页

作者： Grande, Davide Peruffo, Andrea Anderlini, Enrico Salavasidis, Georgios UCL Dept Mech Engn London WC1E 7JE England Natl Oceanog Ctr Southampton SO14 3ZH England Delft Univ Technol Mech Maritime & Mat Engn NL-2628 CD Delft Netherlands

Machine learning-based methodologies have recently been adapted to solve control problems. The Neural Lyapunov control (NLC) method is one such example. This approach combines Artificial Neural Networks (ANNs) with Satisfiability Modulo Theories (SMT) solvers to synthesise stabilising control laws and to prove their formal correctness. The ANNs are trained over a dataset of state-space samples to generate candidate control and Lyapunov functions, while the SMT solvers are tasked with certifying the correctness of the Lyapunov function over a continuous domain or by returning a counterexample. Despite the approach's attractiveness, issues can occur due to subsequent calls of the SMT module at times returning similar counterexamples, which can turn out to be uninformative and may lead to dataset overfitting. Additionally, the control network weights are usually initialised with pre-computed gains from state-feedback controllers, e.g. Linear-Quadratic Regulators. To properly perform the initialisation requires user time and control expertise. In this work, we present an Augmented NLC method that mitigates these drawbacks, removes the need for the control initialisation and further improves counterexample generation. As a result, the proposed method allows the synthesis of nonlinear (as well as linear) control laws with the sole requirement being the knowledge of the system dynamics. The ANLC is tested over challenging benchmarks such as the Lorenz attractor and outperformed existing methods in terms of successful synthesis rate. The developed framework is released open-source at: https://***/grande-dev/Augmented-Neural-Lyapunov-control.

关键词： computer-aided control design Lyapunov methods neural networks

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State Feedback Power control of Boost Converter Aimed at Power system Stability 10

State Feedback Power Control of Boost Converter Aimed at Pow...

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10th International conference on control, Decision and Information Technologies (CoDIT)

作者： Ferreiral, Yuri R. Trentini, Rodrigo Greff, Diego Univ Fed Santa Catarina Dept Mobil Engn Joinville Brazil Fed Inst Santa Catarina Dept Elect Engn Jaragua Do Sul Brazil

ISBN: (纸本)9798350373981;9798350373974

The integration of renewable energy sources, such as photovoltaic and wind power plants, into electrical systems poses challenges in maintaining grid stability due to their lack of natural inertia. This paper addresses the importance of controlling power injection from these sources to mitigate frequency instability, exemplified by a recent blackout in Brazil. While conventional approaches focus on controlling DC-link voltage, this study uses full state feedback control for regulating power injected by a boost converter in photovoltaic systems. This Work in Progress paper presents modelling of the converter with power output, controller design, and computer simulation of the boost converter, demonstrating its effectiveness in power management and reduction of oscillations.

关键词： Wind power integration

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