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针对自适应前馈控制算法在主动隔振系统中存在的局限性,提出了一种基于迭代反馈调整(IFT)的主动隔振控制策略。该方法以主动隔振后的残余力均方值为目标函数,依托系统模型,根据实际需求设计控制器阶数,并通过信赖域的优化方法对控制器参数进行迭代调整,以获得期望的固定阶数的低阶控制器。该低阶控制器有利于降低成本和减少设计计算量,便于控制算法的实时实现。以基于磁致伸缩作动器的双层隔振系统为研究对象,用Matlab仿真软件对提出的算法进行仿真研究,并与自适应前馈控制算法中常用的归一化FX-LMS算法进行比较。结果表明,基于IFT方法所设计的低阶控制器比归一化的FXLMS算法具有更好的隔振效果,有着很好的实用性和推广性。
In view of the limitation of adaptive feedforward control algorithm in active vibration isolation system, an active vibration isolation control strategy based on iterative feedback adjustment (IFT) is proposed. The method takes the mean square value of residual force after active vibration isolation as the objective function and relies on the system model to design the controller order according to the actual demand. The controller parameters are iteratively adjusted by the trust region optimization method to obtain the desired fixed Order low-order controller. The low-order controller is conducive to reduce costs and reduce the amount of design calculations, in order to facilitate real-time control algorithm implementation. Taking the magnetostrictive actuator based double-layer vibration isolation system as the research object, the proposed algorithm is simulated with Matlab simulation software and compared with the normalized normalized FX-LMS algorithm in the adaptive feedforward control algorithm . The results show that the low-order controller designed based on IFT method has better vibration isolation effect than the normalized FXLMS algorithm and has good practicability and generalization.