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Discrete-Time MRAC with Minimal Controller Synthesis of an Electronic Throttle Body

机译:离散时间MRAC具有最小的控制器合成电子节流阀

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Hyperstability-based model reference adaptive controllers that use a Minimal Controller Synthesis (MCS) algorithm are known in the literature as MCS controllers. The adaptation gains that arise in the continuous-time MCS algorithm are nonlinear and, as a consequence, practical implementations have to be carried out in a digital fashion. However, the discrete-time versions of the MCS that have been used so far for implementation purposes are not proved to be asymptotically stable for plants from second order up. Recently, some of the authors have developed a hyperstable, discrete-time MCS algorithm with a formal proof of asymptotic stability for generic n-dimensional plants that can be used to control discretized continuous-time plants. This paper deals with the implementation and performance analysis of this algorithm to the problem of controlling an electronic throttle body in automotive engineering.
机译:基于高性的模型参考自适应控制器,其使用最小控制器合成(MCS)算法在文献中是MCS控制器的文献中。在连续时间MCS算法中产生的适应增益是非线性的,因此必须以数字方式进行实际实现。然而,到目前为止使用的MCS的离散时间版本并不能被证明对于从二次秩序中植物渐近稳定。最近,一些作者已经开发出一种不稳定的离散时间MCS算法,具有可用于控制离散的连续植物的通用N维植物的正式证明渐近稳定性。本文涉及该算法对汽车工程中电子节气门体的问题的实现和性能分析。

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