Distributed Coordinated Motion Tracking of the Linear Switched Reluctance Machine-Based Group Control System

Zhang, Bo; Yuan, Jianping; Li, Qiu; Cheung, N.C.; Pan, Jianfei

doi:10.1109/tie.2015.2494844

Cited by 40 publications

(18 citation statements)

References 30 publications

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“…It is clear that the zero phase-difference effect is taken at about the time of 11 s. From the dynamic error response profiles as Figure 8b, it is clear that the maximum error values fall into 0.5 mm at the steady state. Figure 8c is the steady-state position response profiles under the distributed PD control strategy [8]. It can be seen that the phase errors of the LSRMs network under the distributed PD control is greater than the phase-difference response from the proposed control strategy.…”

Section: Resultsmentioning

confidence: 98%

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Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network

et al. 2017

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This paper discusses the control of the linear switched reluctance machines (LSRMs) network for the zero phase-difference tracking to a sinusoidal reference. The dynamics of each LSRM is derived by online system identification and modeled as a second-order linear system. Accordingly, based on the coupled harmonic oscillators synchronization manner, a distributed control strategy is proposed to synchronize each LSRM state to a virtual LSRM node representing the external sinusoidal reference for tracking it with zero phase-difference. Subsequently, a simulation scenario and an experimental platform with the identical parameter setup are designed to investigate the tracking performance of the LSRMs network constructed by the proposed distributed control strategy. Finally, the simulation and experimental results verify the effectiveness of the proposed LSRMs network controller, and also prove that the coupled harmonic oscillators synchronization method can improve the synchronization tracking performance and precision.

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Section: Resultsmentioning

confidence: 98%

“…According to the method proposed in [8], system matrices A i and B i (i = 1, 2, 3) can be obtained by the online least squares identification [4] with a sampling time of T = 0.001 s, and they can be derived as:…”

Section: Illustrative Examplesmentioning

confidence: 99%

Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network

et al. 2017

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“…Compared to linear PM synchronous machines, the LSRM is more cost-effective, owing to its robust and stable mechanical structure. Therefore, the overall system cost for the implementation of a coordinated linear motion control network is low [13].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

et al. 2017

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This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed to correct the asynchronous behaviors of the position commands. Then, the low-level tracking synchronization method is applied for the collaborative position control of the four LSRMs. The proposed two-level, fault-tolerant control strategy eliminates the asynchrony of the reference signals and it also guarantees the coordinated tracking control performance of the four LSRMs. Experimental results demonstrate that effective coordinated tracking control can be ensured, based on the successful agreement of reference signals and an absolute tracking error falling within 2 mm can be achieved.

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Section: Introductionmentioning

confidence: 99%

“…Current research mainly concentrates on optimized machine design and control performance improvement of single switched reluctance machine based motion control systems [13][14][15][16][17]. In [13], a double-sided, asymmetric LSRM structure is proposed to ensure a higher force-to-volume ratio with more acceleration, compared to a double-sided, symmetric counterpart with the same dimensions and ratings [18].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

Zhang¹,

Yuan²,

Luo³

et al. 2017

Preprint

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This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed to correct the asynchronous behaviors of the position commands. Then, the low-level tracking synchronization method is applied for the collaborative position control of the four LSRMs. The proposed two-level, fault-tolerant control strategy eliminates the asynchrony of the reference signals and it also guarantees the coordinated tracking control performance of the four LSRMs. Experimental results demonstrate that effective coordinated tracking control can be ensured, based on successful agreement of reference signals and an absolute tracking error falling within 2 mm can be achieved.

show abstract

Distributed Coordinated Motion Tracking of the Linear Switched Reluctance Machine-Based Group Control System

Cited by 40 publications

References 30 publications

Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network

Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

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