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Static shape control of structures using nonlinear piezoelectric actuators with energy constraints

机译:使用具有能量约束的非线性压电致动器对结构进行静态形状控制

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摘要

Static shape control of composite plates with nonlinear piezoelectric actuators subject to energy constraint is investigated in this paper. The optimal control voltages are determined by using Lagrange multipliers so as to minimize a weighted generalized error function at a given energy level. An eigenspace based algebraic equation of the unknown Lagrange multiplier is derived in order to reduce the computation load of finding the multipliers. Two methods, an iteration algorithm and a shape updating algorithm, are presented for iteratively finding the optimal control voltages for the nonlinearly actuated composite plates. In the iteration algorithm, a control voltage vector is calculated after the Lagrange multipliers are solved for in each iteration, and the iteration continues until an assigned precision is satisfied. In the shape updating algorithm, the actuated shape is calculated in each iteration and then the difference between the actuated and the desired shape is used as the new desired shape in the next iteration. The control voltage vector will be updated using new desired shapes repeatedly until convergence is reached. Finally, a simulation example is given to demonstrate the effectiveness of the present methods.
机译:研究了非线性压电致动器在能量约束下的复合板的静态形状控制问题。最佳控制电压是通过使用拉格朗日乘法器确定的,以便在给定的能量水平下将加权的广义误差函数最小化。推导了未知拉格朗日乘子的基于本征空间的代数方程,以减少寻找乘子的计算量。提出了两种算法,一种迭代算法和一种形状更新算法,用于迭代地找到非线性驱动复合板的最优控制电压。在迭代算法中,在每次迭代中求解拉格朗日乘数之后,计算控制电压矢量,并且迭代将继续进行,直到满足指定的精度为止。在形状更新算法中,在每次迭代中计算出被激励的形状,然后在下一次迭代中将被激励的形状与所需形状之间的差异用作新的所需形状。控制电压矢量将使用新的所需形状重复更新,直到达到收敛为止。最后,给出了一个仿真例子来说明本方法的有效性。

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