防务技术2024,Vol.39Issue(9) :147-156.DOI:10.1016/j.dt.2024.04.008

Model-driven full system dynamics estimation of PMSM-driven chain shell magazine

Kai Wei Longmiao Chen Quan Zou
防务技术2024,Vol.39Issue(9) :147-156.DOI:10.1016/j.dt.2024.04.008

Model-driven full system dynamics estimation of PMSM-driven chain shell magazine

Kai Wei 1Longmiao Chen 1Quan Zou1
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作者信息

  • 1. School of Mechanical Engineering,NanJing University of Science and Technology,Nanjing,210094,China
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Abstract

Based on the system dynamic model,a full system dynamics estimation method is proposed for a chain shell magazine driven by a permanent magnet synchronous motor(PMSM).An adaptive extended state observer(AESO)is proposed to estimate the unmeasured states and disturbance,in which the model parameters are adjusted in real time.Theoretical analysis shows that the estimation errors of the dis-turbances and unmeasured states converge exponentially to zero,and the parameter estimation error can be obtained from the extended state.Then,based on the extended state of the AESO,a novel parameter estimation law is designed.Due to the convergence of AESO,the novel parameter estimation law is insensitive to controllers and excitation signal.Under persistent excitation(PE)condition,the estimated parameters will converge to a compact set around the actual parameter value.Without PE signal,the estimated parameters will converge to zero for the extended state.Simulation and experi-mental results show that the proposed method can accurately estimate the unmeasured states and disturbance of the chain shell magazine,and the estimated parameters will converge to the actual value without strictly continuous PE signals.

Key words

Chain shell magazine/Full system dynamics estimation/Disturbance estimation/Parameter estimation/Adaptive extended state observer

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出版年

2024
防务技术
中国兵工学会

防务技术

CSTPCD
影响因子:0.358
ISSN:2214-9147
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