Combining finite-time control and prescribed tracking performance for uncertain PMSM driven steer-by-wire system with unknown disturbance

Yan Liu, Sucai Zhang, Yongfu Wang, Gang Li
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Abstract

To solve the uncertainties in permanent magnet synchronous motor (PMSM) driven steer-by-wire (SbW) system, a prescribed-performance-control (PPC) based finite-time fuzzy controller is proposed. Specifically, the dynamics of SbW system driven by PMSM is analyzed, and combine PPC technology to transform the tracking error coordinates. Then, the velocity signal is obtained from the sigmoid function-based tracking differentiator by using the position signal. To solve the problem of mismatched disturbance, fuzzy logic system (FLS) are used as a universal approximator to estimate the lumped nonlinear friction and other unknown functions, the boundary of lumped disturbance is estimated by the designed adaptive updating law. By fusing the designed virtual controller and the intermediate control law, the controller needs no precise parameters of system, under which the effect of uncertainty of control gain can be compensated completely. Finally, rigorous theoretical analysis based on the Lyapunov stability theory is provided to demonstrate the finite-time stability of the closed-loop system under consideration. Simulation and experiment results are presented to show the effectiveness of the developed control approach, and some comparisons are given to show the rapid and accurate position tracking control performance.
将有限时间控制和规定跟踪性能相结合,用于具有未知扰动的不确定 PMSM 驱动线控转向系统
为解决永磁同步电机(PMSM)驱动的线控转向(SbW)系统中的不确定性问题,提出了一种基于规定性能控制(PPC)的有限时间模糊控制器。具体来说,分析了 PMSM 驱动的 SbW 系统的动态,并结合 PPC 技术对跟踪误差坐标进行了变换。然后,利用位置信号从基于 sigmoid 函数的跟踪微分器中获得速度信号。为解决不匹配扰动问题,使用模糊逻辑系统(FLS)作为通用近似器来估计叠加非线性摩擦和其他未知函数,并通过设计的自适应更新法则来估计叠加扰动的边界。通过融合所设计的虚拟控制器和中间控制律,控制器不需要精确的系统参数,从而可以完全补偿控制增益不确定性的影响。最后,基于 Lyapunov 稳定性理论进行了严格的理论分析,证明了所考虑的闭环系统的有限时间稳定性。仿真和实验结果表明了所开发控制方法的有效性,并给出了一些比较,以显示快速准确的位置跟踪控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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