Finite-Time Consensus Tracking Control for Speed Sensorless Multi-Motor Systems

Zhang, Bolun; Mo, Shuangye; Zhang, Hao; Tong, Qin; Zhong, Yong

doi:10.3390/app12115518

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…This is either because it is bulky in terms of volume (for example transport) or because the system necessitates distributed actuators (in the paper, textile and general web transport) [1], [2]. These applications become multi-motors systems (MMS) [3], and multi-converters systems [4]. Vehicle convoys (in the context of a smart highway with autonomous vehicles) and electric power transmission networks with generators and distributed loads are also included in this class of system [5].…”

Section: Introductionmentioning

confidence: 99%

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

Bensaid,

Ba-Razzouk,

El Haroussi

2024

IJPEDS

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Multi-motor systems (MMS) find widespread use in various industrial applications, including plastic, paper, textiles, and steel rolling mills, where synchronized speeds are crucial for optimal operation. However, a significant limitation of these systems is their susceptibility to voltage sags, resulting in speed and synchronization loss, along with peak currents and torques during voltage recovery. This paper presents a comprehensive multi-motors management strategy aimed at attenuating the adverse effects of voltage sags. The proposed technique is based on principles that involve recovering the system’s kinetic energy and leveraging the current reversibility of the converters. The control scheme comprises two main strategies: an adaptive linear neuron or later adaptive linear element (ADALINE)-based voltage sag detection algorithm utilizing least mean square (LMS) adaptation for rapid convergence using artificial neural networks, and a control scheme incorporating sliding mode speed controllers and indirect rotor field-oriented control (IRFOC). Additionally, a logic-based strategy for voltage sag attenuation completes the control framework. The effectiveness and efficiency of the proposed strategy are demonstrated through simulation results obtained using MATLAB/Simulink/SimPowerSystems.

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Section: Introductionmentioning

confidence: 99%

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

Bensaid,

Ba-Razzouk,

El Haroussi

2024

IJPEDS

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“…However, for all practical purposes, it is expected that agents' synchronization should take place in finite time, which motivated researchers to explore the possibility of agents synchronization in finite time. In papers [31][32][33], finite-time consensus algorithms were proposed for first-order MAS. In [34], authors have formulated the problem of MAS having second-order dynamics, where agents' synchronization is achieved using output feedback control.…”

Section: Introductionmentioning

confidence: 99%

Predefined Time Synchronization of Multi-Agent Systems: A Passivity Based Analysis

Pandey

Taslima

Singh

et al. 2023

Sensors

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This paper deals with the predefined-time synchronization for a class of nonlinear multi-agent systems. The notion of passivity is exploited to design the controller for predefined-time synchronization of a nonlinear multi-agent system, where the time of synchronization can be preassigned. Developed control can be used to synchronize large-scale, higher-order multi-agent systems as passivity is an important property in designing control for complex control systems, where the control inputs and outputs are considered in determining the stability of the system in contrast to other approaches, such as state-based Control We introduced the notion of predefined-time passivity and as an application of the exposed stability analysis, static and adaptive predefined-time control algorithms are designed to study the average consensus problem for nonlinear leaderless multiagent systems in predefined-time. We provide a detailed mathematical analysis of the proposed protocol, including convergence proof and stability analysis. We discussed the tracking problem for a single agent, and designed state feedback and adaptive state feedback control scheme to make tracking error predefined-time passive and then showed that in the absence of external input, tracking error reduces to zero in predefined-time. Furthermore, we extended this concept for a nonlinear multi-agent system and designed state feedback and adaptive state feedback control scheme which ensure synchronization of all the agents in predefined-time. To further strengthen the idea, we applied our control scheme to a nonlinear multi-agent system by taking the example of Chua’s circuit. Finally, we compared the result of our developed predefined-time synchronization framework with finite-time synchronization scheme available in literature for the Kuramoto model.

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“…The average energy efficiency of on-board HESDs η bat and η sc is set to be 0.9 considering negligible transmission loss [19]. In [44,45], the efficiency of the advanced DC and induction motors are about 90-94% and 93-95%, respectively, and then approximately set as 90%. By exploring the model, ∆t i,j = 2s is shown to provide a better compromise between computational burden and accuracy.…”

mentioning

confidence: 99%

“…parameters in Guangzhou metro line 7 for a typical railway vehicle with on-board HESDs[17,19,44,45]. t , (tonnes)The total mass of the train 279.1 (AW2) V m ax, (km/h) Maximum operational speed 80 a a,max , (m/s 2 )Maximum acceleration 1.0 a d,max , (m/s 2 )…”

mentioning

confidence: 99%

Impact of On-Board Hybrid Energy Storage Devices on Energy-Saving Operation for Electric Trains in DC Railway Systems

Zhang

Yang

et al. 2022

Batteries

Self Cite

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To improve the energy-efficiency of transport systems, it is necessary to investigate electric trains with on-board hybrid energy storage devices (HESDs), which are applied to assist the traction and recover the regenerative energy. In this paper, a time-based mixed-integer linear programming (MILP) model is proposed to obtain the energy-saving operation for electric trains with different constraints of on-board HESDs, such as their capacity, initial state of charge (SOC), and level of degradation. The proposed integrated power flow model based on the train longitudinal dynamics, power split of on-board HESDs, and line impedance is discretized and linearized, aiming to minimize the net energy consumption (NEC). The results reveal that on-board HESDs with a higher capacity does not necessarily lead to a higher energy-saving rate; a lower or excessive initial SOC could undermine the energy-saving potential; considering the long-term train operation, the degradation of the Li-ion battery will influence the energy-saving operation for electric trains, as well as result in an energy-saving rate that ranges from 41.57% to 31.90%. The practical data from Guangzhou Metro Line 7 were applied in the simulations, which enhanced the practicality and effectiveness of the proposed method.

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Finite-Time Consensus Tracking Control for Speed Sensorless Multi-Motor Systems

Cited by 6 publications

References 37 publications

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

Predefined Time Synchronization of Multi-Agent Systems: A Passivity Based Analysis

Impact of On-Board Hybrid Energy Storage Devices on Energy-Saving Operation for Electric Trains in DC Railway Systems

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