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A network control system for solving a speed coordination problem in a networked multi-motor drive

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND control 2024年第1期45卷 31-39页

作者： Huang, Jiexian Masroor, Suhaib Ali, Zain Anwar Jiaying Univ Sch Phys & Elect Engn Meizhou Peoples R China Sir Syed Univ Engn & Technol Dept Biomed Engn Karachi Pakistan

A control system connected to sensor and actuator via communication network plays pivotal role in a today's emerging world. The problem of obtaining a consensus in a group of networks connected agents is one of the major areas of research in the network control systems. In industry, a multi-motor system is very much in demand due to common load driven capacity, and cost saving. Coordinated speed plays vital role to control the in-flight movement of multi-rotor UAV/drones, producing hovering, tilting or other necessary flight control movements. Thus, this study uses a leaderless multi-agent consensus model to achieve coordinated control of network connected motor drives such that all the drives reach identical speed. Moreover, this study also incorporates event-based control, so that the continuous time controller update can be avoided, thus offering energy saving. To ensure stable system design, the Lyapunov stability criteria are used, while the obtained design is simulated in MATLAB. The simulated results endorse the design concept, such that the system attains a consensus on motor speed along with energy saving.

关键词： network control system NCS leaderless multi-agent system event-based consensus networked multi-motor system

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Neural network control system of cooperative robot based on genetic algorithms

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NEURAL COMPUTING & APPLICATIONS 2021年第14期33卷 8217-8226页

作者： Liu, Aiqin Zhang, Yuezhong Zhao, Honghua Wang, Shi Sun, Dianmin Qilu Normal Univ Sch Informat Sci & Engn Jinan 250013 Shandong Peoples R China Shandong First Med Univ Dept Ultrasound Shandong Prov Hosp Jinan 250117 Shandong Peoples R China Jinan Univ Sch Mech Engn Jinan 250022 Shandong Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing Peoples R China Shandong First Med Univ & Shandong Acad Med Sci Shandong Canc Hosp & Inst Dept Thorac Surg Jinan 250117 Shandong Peoples R China

Attitude detection of cooperative robots can help robots recognize environment, understand tasks, and improve the safety, accuracy and efficiency of robot work. For robots with unknown configuration parameters, their configuration can be estimated;it is convenient for further kinematics and dynamics analysis. For an economical cooperative robot, its kinematic parameters can be corrected by attitude detection. An independent robot attitude detection system can be used as a secondary auxiliary system, and the fault diagnosis system of the robot is composed of the high-precision encoder system of the robot body. This paper studies the neural network control system of cooperative robot based on genetic algorithm. In this paper, the robot is taken as the research object. Aiming at its strong conjunction, non-linearity and multivariable characteristics, the problem of robot motion control based on neural network is mainly discussed. On this basis, the basic genetic algorithm and an improved genetic algorithm called messy are used to optimize the structure of the neural network, so as to better realize the motion control problem of the robot. The results of this study show that: After optimization with messy genetic algorithm, not only the tracking effect is better, but also the number of hidden layer nodes of the network is reduced from 12 to 7. This greatly simplifies the structure of the network and makes the design and training of the network relatively simple.

关键词： Genetic algorithm network control system Cooperative robot Neural network

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Aperiodic Sample-Data control Strategy for network control system with Hybrid attacks 13

Aperiodic Sample-Data Control Strategy for Network Control S...

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13th Asian control Conference (ASCC)

作者： Cai, Xiao She, Kun Park, PooGyeon Shi, Kaibo Soh, Yeng Chai Univ Elect Sci & Technol China Informat & Software Engn Chengdu 611731 Sichuan Peoples R China Pohang Univ Sci & Technol Dept Elect Engn Pohang Gyeongbuk South Korea Chengdu Univ Informat Sci & Engn Chengdu 611731 Sichuan Peoples R China Nanyang Technol Univ Elect & Elect Engn Singapore 639798 Singapore

ISBN: (纸本)9788993215236

This study focuses on the stability issue of network control systems (NCSs) under possible hybrid attacks (HAs), which has important research value in network security. Firstly, the HAs method of deception cyber attacks (CAs) and random CAs are studied, which broadly consider the complexity of the types of attacks. Secondly, a novel time-delay-product boundary looped function (BLF) is developed, fully considering the delay and sampling information. In addition, the initial constraints of the criterion on the matrices are effectively relaxed. Then, a new dynamic memory sample data (DMSD) controller under HAs is constructed to control the asymptotical stable (AS) of NCSs. Finally, a numerical experiment is presented to verify the correctness and feasibility of the theory.

关键词： network control system Sampled-data control Cyber-attacks Time-delay-product Lyapunov-Krasovskii functional

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Earliest deadline first scheduling technique for different networks in network control system

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NEURAL COMPUTING & APPLICATIONS 2019年第1-Sup期31卷 223-232页

作者： Kalaivani, C. T. Kalaiarasi, N. Anna Univ Saveetha Engn Coll Chennai Tamil Nadu India RMK Coll Engn & Technol Chennai Tamil Nadu India

The idea of this research is to determine the best network providing the reduced network time delay in network controlled system (NCS). NCS tackles robust and nonlinear processes that are time-varying or the requirements for the control change with the operating conditions using earliest deadline first (EDF) scheduling technique. It is very useful for minimizing the effects of parameter variations with respect to the process dynamics. The main advantage of applying EDF is that the parameters of the controller can be changed according to deadline along with the process changes. The main limiting factor is that auxiliary measurement should respond quickly to the process change. By applying the EDF algorithm in NCS schemes, the control of the two-tank water-level system is simulated using PID controllers and the control via Internet is simulated with the constant time delays and time-varying delay conditions. The drawbacks of NCS are network-induced delay, packet losses, bit errors, time-varying random transmission delay, lack of synchronization between devices, bandwidth limitations and integration of the modules. As the EDF scheduling approach is based on the mean time-delay parameters, they shift from one set to another when the mean time delay changes from one set to another. Therefore, time-delay issues are reduced by this algorithm. In this research work, the main challenge network-induced delay is reduced by scheduling technique and suitable network for PID control for EDF scheduling is determined among CAN, Ethernet, Switched Ethernet, TDMA and FDMA. CAN and Ethernet have the minimum of 1ms network-induced time delay when compared with Switched Ethernet, TDMA and FDMA under overload condition. The integral of absolute error is employed to measure the quality of control of each control loop value for EDF scheduling 0.00354 and processor utilization is estimated as U=0.12.

关键词： Scheduling network control system PID controller Time delay

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Study on the control Strategy of network control system

Study on the Control Strategy of Network Control System

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2019 9th International Conference on Education and Social Science(ICESS 2019)

作者： Tian Deng NanChang Institute of Science and Technology

As a symbolic achievement of the third scientific and technological revolution,computer network has penetrated into various fields of modern society and become one of the important infrastructures in the information *** background of the network control system is put forward and the basic problems of the control system are discussed in this paper,taking the network delay problem as the main analysis object and proposing the solution strategy.

关键词： network control system network delay control strategy

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uIP Stack Based Embedded network control system for Bridge Safety Detection

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JOURNAL OF INTERNET TECHNOLOGY 2016年第6期17卷 1109-1116页

作者： Tao, Dan Wu, Tin-Yu Jiang, Jiaguo Liu, Pingping Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun Jilin Peoples R China Natl Ilan Univ Dept Comp Sci & Informat Engn Yilan Taiwan

In this paper, we develop an embedded network control system based on lightweight uIP stack to serve bridge safety detection machine. Firstly, we design a solution which combines embedded system and network module to meet practical requirements. Secondly, for hardware design, we adopt low-power-cost STM32F103 based on ARM Cortex-M3 cell as micro-controller and embedded Ethernet chip ENC28J60 to build the whole system platform. Particularly, we detail the design of peripheral circuits, such as I/O module, power supply module, and so on. For software design, considering the disadvantages of traditional TCP/IP protocol stack for the design of embedded systems, we utilize lightweight uIP stack and perform the whole transplantation process. We make two editions of the upper machine software which are running on PC end and smartphone end, respectively. Finally, a series of function and performance verifications show that the embedded network control system proposed can satisfy the design requirements (e.g., connectivity and stability), and achieve intelligence of bridge safety detection.

关键词： Embedded system uIP stack network control system Bridge safety detection

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Research on the Earliest Deadline First network control system Dynamic Scheduling

Research on the Earliest Deadline First Network Control Syst...

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2nd International Conference on Computer Engineering,Information Science & Application Technology(ICCIA 2017)

作者： Yue Wu Linli Zhou Yue Duan Institute of Intelligent Machines Chinese Academy of Sciences

ISBN: (纸本)9781510845008

networked control system is a subject of integrated computer technology, automatic control, communication technology and optimization theory, the effects of network scheduling on the property of network control system is a hot issue in the research of international academic circles in recent years. This paper introduces the basic composition and network control system schedulability analysis method, puts forward a network dynamic scheduling theory improved by real-time scheduling theory-Earliest Deadline First(EDF) dynamic scheduling algorithm. And the construction of multi loop networked control simulation platform based on CAN network using Truetime and Simulink toolbox. Simulation results show that, the earliest deadline first dynamic scheduling algorithm can make the performance of each loop controller in the uncertain network environment optimal.

关键词： network control system network scheduling earliest deadline first

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Simulation and Performance Testing of the network control system in Coal Mine Automation

Simulation and Performance Testing of the Network Control Sy...

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2016 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016)

作者： Wu Haiyan Zhang Xuhui Zhao Youjun Lou Linli School of Mechanical Engineering Xi'an University of Science and Technology Xi'an Coal Mining Machinery Co. Ltd.

ISBN: (纸本)9781510823808

Aiming at the problems of real-time and reliability of the network control system(NCS) in coal mine automation,the performance of monitoring system based on Industrial Ethernet is *** theoretical analysis and computer simulation,the real time performance including network delay,sampling rate,information transfer interval of the system were analyzed with the help of Jitterbug and True Time *** the parameter of system communication network performance by comprehensive evaluation method,system optimal operation parameters was got,improved the reliability and safety of equipment.

关键词： network control system Coal Mining equipment Real-time performance Simulation research True Time

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uIP Stack Based Embedded network control system for Bridge Safety Detection

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网际网路技术学刊 2016年第6期17卷 1109-1116页

作者： Dan Tao Tin-Yu Wu Jiaguo Jiang Pingping Liu

In this paper, we develop an embedded network control system based on lightweight uIP stack to serve bridge safety detection machine. Firstly, we design a solution which combines embedded system and network module to meet practical requirements. Secondly, for hardware design, we adopt low-power-cost STM32"公平交易委员会"3 based on ARM Cortex-M3 cell as micro-controller and embedded Ethernet chip ENC28J60 to build the whole system platform. Particularly, we detail the design of peripheral circuits, such as I/O module, power supply module, and so on. For software design, considering the disadvantages of traditional TCP/IP protocol stack for the design of embedded systems, we utilize lightweight uIP stack and perform the whole transplantation process. We make two editions of the upper machine software which are running on PC end and smartphone end, respectively. Finally, a series of function and performance verifications show that the embedded network control system proposed can satisfy the design requirements (e.g., connectivity and stability), and achieve intelligence of bridge safety detection.

关键词： Embedded system uIP stack network control system Bridge safety detection

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The Improved Fuzzy-Smith Compensator based on Modeling Error for network control system 4

The Improved Fuzzy-Smith Compensator based on Modeling Error...

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4th IEEE Annual International Conference on Cyber Technology in Automation, control, and Intelligent systems (CYBER)

作者： Chen, Hongjun Qu, Yuepeng Zhou, Xin Liu, Bo Harbin Inst Technol Dept Elect Engn Harbin 150006 Peoples R China

ISBN: (纸本)9781479936694

This paper proposes a Fuzzy-Smith compensator based on the modeling error for the time delay compensation of network control system (NCS). When the controlled plant is a nonlinear time-varying system, the identification model error of Smith predictor will change as well, which will lead to a poor control performance. For this problem, the fuzzy control method based on identification model gain self-tuning is introduced to improve the robustness of the compensator. Simulation and experimental results show good performance on the time delay compensation and modeling error correction for the NCS.

关键词： network control system time delay smith predictor fuzzy control modeling error

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