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Hardware Synthesis of Explicit Model Predictive Controllers

机译:显式模型预测控制器的硬件综合

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The general solution to constrained linear and piecewise linear model predictive control (MPC) has recently been explicitly characterized in terms of piecewise-linear (PWL) state feedback control. This means that a PWL controller can be precomputed using parametric programming, and the exact explicit MPC implementation amounts to the evaluation of a PWL function in the control unit. It has recently been shown that PWL function evaluation can be accelerated by searching a binary tree data structure, leading to highly efficient, accurate, and verifiable software implementation in low-cost embedded control units. In this work, we report hardware synthesis results for this type of PWL control, and show that explicit MPC solutions can be implemented in an application specific integrated circuit (ASIC) with about 20 000 gates, leading to computation times in the microsecond scale. This opens the way for the use of highly advanced control designs such as constrained MPC in small-scale industrial and consumer electronics application areas that are characterized by fast sampling or low cost, including mechatronics, microelectromechanical systems (MEMS), automotive control, power electronics, and acoustics. The main limitation of the approach is that the memory requirements increase rapidly with the problem dimensions
机译:约束线性和分段线性模型预测控制(MPC)的一般解决方案最近已通过分段线性(PWL)状态反馈控制进行了明确描述。这意味着可以使用参数编程来预先计算PWL控制器,确切的显式MPC实现相当于控制单元中PWL功能的评估。最近显示,可以通过搜索二叉树数据结构来加速PWL功能评估,从而在低成本嵌入式控制单元中实现高效,准确和可验证的软件实现。在这项工作中,我们报告了这种PWL控制的硬件综合结果,并表明可以在具有约20000门的专用集成电路(ASIC)中实现显式MPC解决方案,从而导致微秒级的计算时间。这为在以快速采样或低成本为特征的小型工业和消费电子应用领域中使用受限的MPC等受限控制MPC开辟了道路,这些领域包括机电一体化,微机电系统(MEMS),汽车控制,电力电子和声学。该方法的主要局限性在于,随着问题的规模,内存需求迅速增加

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