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Using the modified PSO method to identify a Scott-Russell mechanism actuated by a piezoelectric element

机译:使用改进的PSO方法识别压电元件致动的Scott-Russell机构

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This paper mainly proposes an efficient modified particle swarm optimization (MPSO) method, to identify a Scott-Russell (SR) magnification mechanism driven by a piezoelectric actuator (PA), in which Bouc-Wen model is employed to describe the hysteresis phenomenon. In system identification, we adopt the MPSO to find parameters of the SR mechanism and the PA. This new algorithm is added with "distance" term in the traditional PSO's fitness function to avoid converging to a local optimum. It is found that the MPSO method can obtain optimal high-quality solution, high calculation efficiency, and its feasibility and effectiveness are demonstrated for the modified IEEE 30-bus system. Finally, the comparisons of numerical simulations and experimental results prove that the MPSO identification method for the SR magnification mechanism is feasible.
机译:本文主要提出一种有效的改进粒子群算法(MPSO),来确定压电致动器(PA)驱动的Scott-Russell(SR)放大机制,其中采用Bouc-Wen模型来描述磁滞现象。在系统识别中,我们采用MPSO来查找SR机制和PA的参数。此新算法在传统PSO的适应度函数中添加了“距离”项,以避免收敛到局部最优值。结果表明,MPSO方法可以获得最优的高质量解,具有较高的计算效率,并证明了其在改进的IEEE 30总线系统中的可行性和有效性。最后,通过数值模拟和实验结果的比较,证明了SR放大倍数的MPSO识别方法是可行的。

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