Settle time performance comparisons of stable approximate model inversion techniques

Brian P. Rigney, L. Pao, D. Lawrence
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引用次数: 11

Abstract

We compare the achievable settle time for small rest-to-rest maneuvers using two stable approximate model inversion output tracking methods: the zero phase error tracking controller (ZPETC) and noncausal series approximation. The plant dynamics of interest are known, discrete-time, single-input single-output (SISO), linear time-invariant (LTI), and nonminimum phase (NMP), with a single left-half-plane zero outside the unit circle. The approximate inversion methods are evaluated over a range of NMP zero locations and aggressive seek durations. Using a plant inverse (PI) architecture, we find that the ZPETC algorithm provides better settle performance for particular plants with a NMP zero near the unit circle. Conversely, the noncausal series approximation method achieves faster settle times when these plants' NMP zero is far from the unit circle. With a closed-loop inverse (CLI) architecture, both the series approximation and ZPETC algorithms yield faster settle times than either algorithm in PI, regardless of NMP zero location
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稳定近似模型反演技术的稳定时间性能比较
我们比较了两种稳定的近似模型反演输出跟踪方法:零相位误差跟踪控制器(ZPETC)和非因果序列逼近。感兴趣的植物动力学是已知的,离散时间,单输入单输出(SISO),线性时不变(LTI)和非最小相位(NMP),在单位圆外有一个左半平面零。在NMP零点位置和主动寻道持续时间范围内对近似反演方法进行了评估。使用植物逆(PI)架构,我们发现ZPETC算法对单位圆附近NMP为零的特定植物提供了更好的沉降性能。相反,当这些植物的NMP零点距离单位圆较远时,非因果序列近似法的沉降时间更快。使用闭环逆(CLI)架构,无论NMP零点位置如何,级数近似和ZPETC算法都比PI中的任何一种算法产生更快的沉降时间
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