Internet of Things-Based Online Condition Monitor and Improved Adaptive Fuzzy Control for a Medium-Low-Speed Maglev Train System

Sun, Yougang; Qiang, Haiyan; Xu, Junqi; Lin, Guobin

doi:10.1109/tii.2019.2938145

Cited by 104 publications

(55 citation statements)

References 21 publications

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“…Train running time is also the objective of speed profile design. Total running time T of TRS is expressed as (18). i is the time step index, n is the total time step, and t is the step…”

Section: ) Energy Consumptionmentioning

confidence: 99%

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Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Zhu

Liu³

et al. 2020

IEEE Access

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Speed profile design and tracking control are two important issues to ensure the performance of the automatic train operation system. Aiming to realize the maximum optimization probability of train running, this paper constructs an integrated optimal method through speed profile design and fuzzy PID controller design. In the recommended speed profile design, three typical running strategies are included in the proposed comprehensive scheme to extend solution space, and the constructed train performance simulation is combined with NSGA-II algorithm to solve such multiobjective problem. As for recommended speed profile tracking, in order to improve the tracking performance of the train, which is a nonlinear system, a fuzzy PID controller is designed to adaptively adjust PID gains. Note that multiple indicators of punctually, energy consumption, stopping accuracy and comfort are all considered in the integrated design. Taking Beijing Subway Line 8 as the numerical example, the results show that the design of speed profile and fuzzy PID controller are both effective, and energy consumption saves about 10.40% with other better indicators compared with the original data.

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Section: ) Energy Consumptionmentioning

confidence: 99%

“…As for train running control, the classical proportionalintegral-derivative (PID) controller is currently applied on most trains based on empirical formulas [18]. The PID controller, firstly introduced by Minorsky, is widely used for its simple structure and universality [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Zhu

Liu³

et al. 2020

IEEE Access

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show abstract

“…In [12], a novel nonlinear position-stabilizing controller for magnetic levitation is proposed by combining the active damping injection technique and disturbance observers (DOBs). In [13], in view of the wide application of the internet of things (IoT) in intelligent transportation, a new method for realizing suspension control for mediumlow-speed maglev trains using the IoT and an adaptive fuzzy controller is proposed.…”

Section: Introductionmentioning

confidence: 99%

Design and Real-Time Implementation of Takagi–Sugeno Fuzzy Controller for Magnetic Levitation Ball System

2020

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An integral state feedback control method based on T-S fuzzy model is proposed for nonlinear and unstable magnetic levitation ball system in this paper. Firstly, the fuzzy model of the magnetic levitation ball is derived from the nonlinear dynamic model by using the sector nonlinearity, and the local controller is designed by using the integral state feedback control. The global controller is constructed by a parallel distributed compensation (PDC) method, and the feedback gain is obtained using a linear matrix inequality (LMI). Finally, the integrated state feedback controller is applied to the position control of the magnetic levitation ball system, and a dSPACE real-time control platform is established for experimental research. The simulation and experiment are performed to prove that the designed controller can levitate the ball stably, and has better control performance. INDEX TERMS Magnetic levitation ball system, T-S fuzzy model, integral state feedback, parallel distributed compensation (PDC), linear matrix inequality (LMI), dSPACE.

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“…In order to effectively suppress the intrusion of hackers, a roaming authentication protocol capable of verifying the legitimacy of mobile devices is needed. Therefore, the design of roaming authentication protocols in the IoT network environment is faced with higher security requirements [9], [10].…”

Section: Introductionmentioning

confidence: 99%

An Internet of Things Roaming Authentication Protocol Based on Heterogeneous Fusion Mechanism

Zhang

Liu

et al. 2020

IEEE Access

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With the increasing and diversified Internet of Things (IoT) devices, more IoT heterogeneous wireless networks have emerged, providing more network services for IoT devices, especially mobile phones and other roaming devices. However, there are also some malicious users who use different means to attack the security of the network, so that more users begin to pay attention to the identity authentication and privacy protection of the Internet of Things. This paper designs an IoT node roaming authentication model, which is used to enhance the security authentication capability of the Internet of Things to roaming devices. In order to effectively prevent malicious nodes from connecting to the network, this paper proposes a roaming authentication protocol based on heterogeneous fusion mechanism (HFM-IoT). The authentication protocol uses the remote authentication server in the local and remote areas to perform interactive authentication on the roaming device, which increases the difficulty of attacking or infecting multiple network areas by malicious nodes. According to the security analysis, the protocol can protect against multiple network attacks, and it can be seen from the experimental simulation results that the protocol has lower energy burden and authentication delay. INDEX TERMS Internet of things, heterogeneous network, node roaming, identity authentication.

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Internet of Things-Based Online Condition Monitor and Improved Adaptive Fuzzy Control for a Medium-Low-Speed Maglev Train System

Cited by 104 publications

References 21 publications

Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Design and Real-Time Implementation of Takagi–Sugeno Fuzzy Controller for Magnetic Levitation Ball System

An Internet of Things Roaming Authentication Protocol Based on Heterogeneous Fusion Mechanism

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