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Research on Ascent Phase Guidance Technology Based on Uncertainty Parameter Online Identification

Research on Ascent Phase Guidance Technology Based on Uncert...

引用

2024 ieee International conference on Control science and Systems engineering, ICCSSE 2024

作者： Yichong, Shao Jiayuan, Ding Chunzhen, Sun Mengmeng, Cui College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9798331517199

In response to the challenges of numerous constraints in the ascent phase of composite-powered carriers, narrow flight corridors, and poor adaptability of guidance to deviations in aerodynamic coefficients, atmospheric density, and thrust, this paper proposes an ascent guidance method based on online identification of uncertain parameters. An online identification model based on acceleration information is established to identify the magnitude of parameter deviations. Trajectory profiles matching the magnitude of parameter deviations are selected online from a trajectory database to ensure that the guided vehicle reaches the starting window of the next mission within the constraints under deviation conditions. Simulation results demonstrate that this method enables rapid online selection of a trajectory adapted to the current composite uncertainties, thereby enhancing the robustness of ascent phase guidance schemes for composite-powered carriers. © 2024 ieee.

关键词： Atmospheric density

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Neural-network-based Adaptive Fault-tolerant Control of Switched Nonlinear Systems with Full State Constraints 7

Neural-network-based Adaptive Fault-tolerant Control of Swit...

引用

7th International conference on Robotics, Control and automation engineering, RCAE 2024

作者： Lin, Tao Ren, Wenjing Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350355642

This paper studies the adaptive fault-tolerant control problem for switched nonlinear systems with full-state constraints and unknown functions. To address this challenge, radial basis function neural networks (RBFNNs) are utilized for function approximation, barrier Lyapunov functions (BLFs) are applied for ensuring constraint adherence, and the backstepping technique is employed for systematical control design. The combination of these methods is relatively novel, and on this basis, actuator faults are compensated. It is demonstrated that all closed-loop signals are globally bounded with the tracking error confined within a predefined compact set. © 2024 ieee.

关键词： Lyapunov functions

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Sizing of a fleet of cooperative and reconfigurable robots for the transport of heterogeneous loads 18

Sizing of a fleet of cooperative and reconfigurable robots f...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Chaikovskaia, Mari Gayon, Jean-Philippe Marjollet, Mairtin INP Clermont Auvergne LIMOS Clermont Ferrand France INP Clermont Auvergne ISIMA Clermont Ferrand France

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

We consider a fleet of elementary robots that can be connected in different ways to transport loads of different types. For instance, a single robot can transport a small load and the association of two robots can either transport a large load or two small loads. We seek to determine the number of robots necessary to transport a set of loads in a given time interval, at minimum cost. The cost is function of the number of robots and of the distance travelled by robots. The fleet sizing problem can be formulated by an integer linear problem. In the special case of two types of loads and two configurations, closed-form expressions for the minimum number of robots can be derived. Finally, we show how reconfigurability can allow to diminish the number of required robots.

关键词： Costs Closed-form solutions Computer aided software engineering automation Topology Robots

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Estimation of Plant Growth Environment Temperature based on Plant Electrical Signals 7

Estimation of Plant Growth Environment Temperature based on ...

引用

7th ieee Information Technology, Networking, Electronic and automation Control conference, ITNEC 2024

作者： Wang, Yifan Tian, Liguo Li, Meng College of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin300222 China

ISBN: (纸本)9798350370782

Electrical signals are an important type of signals in plants, which can not only regulate normal physiological activities, but also reflect the current environmental temperature of plants to a certain extent. The plant electrical signal was collected and the Peak value, Peak to peak and Mean value were extracted as eigenvalues, and the BP neural network was trained to obtain the correspondence model between the eigenvalues of the signal and the ambient temperature. The mean square deviation (MSE) and correlation coefficient (R) of the trained BP neural network model were 0.0058 and 0.9408, respectively. In the re-collected data, 90% of the estimated values fall between 01, and the judgment effect is good, which proves that the model has a high accuracy of judgment. In the future, plant electrical signals can be combined with neural network models to detect temperature, humidity and other parameters in plant growth states, which has high application value in smart agriculture. © 2024 ieee.

关键词： BP neural network model judgment plant electrical signals relational model smart agriculture Temperature detection

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A Recurrent Neural Network Based Bicriteria Repetitive Motion Collision Avoidance Scheme for Motion Planning of Dual Redundant Manipulators 13

A Recurrent Neural Network Based Bicriteria Repetitive Motio...

引用

13th International conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Chen, Shirui Gao, Huanli Hu, Shaolin Zhang, Zhijun The School of Automation Science and Engineering South China University of Technology Guangzhou510640 China The School of Automation Guangdong University of Petrochemical Technology Maoming Guangzhou525000 China The Guangzhou Key Laboratory of Brain-Computer Interaction and Applications Guangzhou China The Key Library of Autonomous Systems and Network Control Ministry of Education The School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Guangzhou510555 China The Jiangxi Thousand Talents Plan Nanchang University Nanchang330031 China The College of Computer Science and Engineering Jishou University Jishou416000 China Guangzhou510335 China The Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Shaanxi University of Technology Hanzhong723001 China The School of Information Science and Engineering Changsha Normal University Changsha410100 China The School of Automation Science and Engineering Maoming525000 China The Institute of Artificial Intelligence and Automation Guangdong University of Petrochemical Technology Maoming525000 China

ISBN: (纸本)9798331516147

To achieve low joint-angle drift and avoid mutual collision between dual redundant manipulators (DRMs) when they are doing collaboration works, a recurrent neural network based bicriteria repetitive motion collision avoidance (BRMCA) scheme is proposed for motion planning of DRMs. By designing a combined optimization objective encompassing both repetitive motion criterion and collision avoidance criterion, the BRMCA scheme has larger feasible region and less constraint contradiction issues compared with traditional inequality constraints based method. Furthermore, by incorporating velocity-level kinematic model and physical limits of DRMs into the scheme, a time varying quadratic programming (TVQP) problem is formulated. The linear variational inequality-based primal–dual neural network (LVI-PDNN) is used to solve the proposed scheme due to the high accuracy and low computation complexity. Finally, through comparison simulations of tracking Circle-shape and C-shape trajectories between BRMCA scheme and minimum velocity norm (MVN) scheme, it exhibits that the proposed BRMCA scheme can achieve low joint-angle drift, collision avoidance and high tracking accuracy when DRMs are doing cooperative tasks. © 2025 ieee.

关键词： Recurrent neural networks

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A Novel Cyclic Scheduling Approach to Time-Constrained Single-Arm-Robot Multi-Cluster Tools 18

A Novel Cyclic Scheduling Approach to Time-Constrained Singl...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Wang, Jipeng Xue, Huan Yang, Qibiao Pan, Chunrong Hubei Univ Technol Sch Mech Engn Wuhan 430068 Peoples R China Jiangxi Univ Sci & Technol Sch Mech & Elect Engn Ganzhou 341000 Peoples R China

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

In semiconductor wafer fabrication, it is incredibly challenging to operate a multi-cluster tool that is composed of several single-cluster tools. This paper deals with the scheduling problem of a time-constrained single-arm-robot multi-cluster tool. We first propose a characteristic single-arm-robot cluster tool and investigate its cyclic scheduling problem. Then, we devise a feature transformation method. By using such a novel approach, a single-arm-robot multi-cluster tool with arbitrary topology can be easily reduced into a characteristic single-arm-robot cluster tool. Thus, the robot tasks are reassigned and then a feasible cyclic schedule can be obtained if the system is schedulable. Finally, we provide illustrative experiments to validate the practicability and availability of the proposed approach.

关键词： Fabrication Schedules Computer aided software engineering automation Topology Task analysis Robots

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Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations 18

Understanding a Robot's Guiding Ethical Principles via Autom...

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ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Krarup, Benjamin Lindner, Felix Krivic, Senka Long, Derek Kings Coll London Fac Nat & Math Sci Bush House London WC2B 4BG England Ulm Univ Inst Artificial Intelligence D-89081 Ulm Germany Univ Sarajevo Fac Elect Engn Sarajevo 7100 Bosnia & Herceg

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

The continued development of robots has enabled their wider usage in human surroundings. Robots are more trusted to make increasingly important decisions with potentially critical outcomes. Therefore, it is essential to consider the ethical principles under which robots operate. In this paper we examine how contrastive and non-contrastive explanations can be used in understanding the ethics of robot action plans. We build upon an existing ethical framework to allow users to make suggestions about plans and receive automatically generated contrastive explanations. Results of a user study indicate that the generated explanations help humans to understand the ethical principles that underlie a robot's plan.

关键词： Ethics Computer aided software engineering automation Autonomous systems Space exploration Planning Artificial intelligence

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Data-Driven Design of Fault Detection Approach for Dynamic Systems Based on Subspace Identification Method 13

Data-Driven Design of Fault Detection Approach for Dynamic S...

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13th ieee Data Driven Control and Learning Systems conference, DDCLS 2024

作者： Yating, Lyu Jingjing, Gao Xu, Yang Jian, Huang Jiarui, Cui School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education Beijing100083 China

ISBN: (纸本)9798350361674

In the context of continuous advancements in modern industry and the escalating demands for the safety and reliability of control systems, timely fault diagnosis of control systems becomes paramount. Driven by this imperative, this article devotes to data-driven design of fault detection systems based on subspace identification method. For this purpose, a fault detection approach based on Subspace State Space System Identification and model-based full-dimensional observer design is firstly designed. It is followed by a data-driven fault detection approach based on one-step identification of stable kernel representation and direct design of the residual generator. Finally, the effectiveness and performance of the two proposed approaches have been verified through a case study on the laboratory threetank system. © 2024 ieee.

关键词： State space methods

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Harmonic Source State Identification Using Random Forest 13

Harmonic Source State Identification Using Random Forest

引用

13th ieee Data Driven Control and Learning Systems conference, DDCLS 2024

作者： Chu, Yundi Li, Haixia Liu, Yu Sun, Ruihai Wang, Ronghao College of Artificial Intelligence and Automation Hohai University Changzhou213000 China College of Defense Engineering Army Engineering University of Pla Nanjing210007 China

ISBN: (纸本)9798350361674

Identification of harmonic source types in the power grid is a prerequisite for comprehensive system rectification solutions to address grid harmonics and is of great significance. This article investigates the problem of harmonic pollution in the power system and proposes a machine learning-based method using a random forest model to identify five types of harmonic sources, including single-phase rectification, three-phase rectification, inverter rectification, wind power generation, and photovoltaic power generation. By measuring the current and voltage characteristics of harmonic sources and combining the accuracy and interpretability of the random forest algorithm, classification of harmonic source types is achieved. Experimental results show that the classification accuracy of wind power generation and photovoltaic power generation harmonic sources is 100%, while the classification effects of single-phase rectification, three-phase rectification, and inverter rectification harmonic sources are 90.5%, 98.2%, and 95.8%, respectively. Overall, this method has achieved good classification effects for harmonic sources. © 2024 ieee.

关键词： Grid harmonics harmonic sources machine learning random forests

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A Tunable Ultra-Broadband Energy Selective Surface Design 7

A Tunable Ultra-Broadband Energy Selective Surface Design

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7th ieee Information Technology, Networking, Electronic and automation Control conference, ITNEC 2024

作者： Xia, Rongkang Ren, Jinjing Xue, Zhicheng College of Mechanical Engineering Southeast University Research Center for Electromagnetic Environmental Effects Nanjing211189 China

ISBN: (纸本)9798350370782

In this article, a novel energy selective surface (ESS) with tunable and ultra-wideband properties is proposed and simulated. With well-designed grid and cross patterns as well as properly chosen PIN diodes and varactor diodes, the ESS can achieve both high-power microwave (HPM) protection and change the operating band of the ESS by applying different bias voltages under low incident power levels. The simulations indicate that the center frequency of the tunable ESS with less than 3dB insertion loss (IL) can be flexible in 8.31GHz- 14.83GHz, and the relative bandwidth under different operating states is 24.5% - 31.6%. The shielding effectiveness (SE) to HPM exceeds 19.1 dB for all operating states. © 2024 ieee.

关键词： Ultra-wideband (UWB)

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