两足机器人正式控制器合成的第一步

A. Ames, P. Tabuada, B. Schürmann, Wen-Loong Ma, Shishir N. Y. Kolathaya, M. Rungger, J. Grizzle
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引用次数: 16

摘要

双足机器人是复杂网络物理系统(CPS)的主要例子。它们表现出许多使CPS的设计和验证变得如此困难的特征:混合动力学,每种模式下的大型连续动力学(例如,10个或更多状态变量),以及涉及状态变量非线性约束的重要规范。在本文中,我们提出了一种两步的方法来形式化地合成双足机器人的控制软件,从而通过设计强制执行规范,从而产生物理上可实现的稳定行走。在第一步,我们设计输出和经典控制器将这些输出驱动到零。得到的被控制系统在低维流形上演化,并由控制剩余自由度的混合零动力学描述。在第二步中,我们构造了混合零动力学的抽象,用于合成一个控制器,该控制器强制满足全阶模型上的期望规范。我们的两步方法是一种系统的方法来减轻维度的诅咒,这阻碍了正式合成技术对复杂CPS的适用性。我们的结果通过仿真来说明,仿真显示了合成控制器如何强制执行所有所需的规范,并提供了相对于用于在双足机器人AMBER 2上实验获得行走的控制器的改进性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First steps toward formal controller synthesis for bipedal robots
Bipedal robots are prime examples of complex cyber-physical systems (CPS). They exhibit many of the features that make the design and verification of CPS so difficult: hybrid dynamics, large continuous dynamics in each mode (e.g., 10 or more state variables), and nontrivial specifications involving nonlinear constraints on the state variables. In this paper, we propose a two-step approach to formally synthesize control software for bipedal robots so as to enforce specifications by design and thereby generate physically realizable stable walking. In the first step, we design outputs and classical controllers driving these outputs to zero. The resulting controlled system evolves on a lower dimensional manifold and is described by the hybrid zero dynamics governing the remaining degrees of freedom. In the second step, we construct an abstraction of the hybrid zero dynamics that is used to synthesize a controller enforcing the desired specifications to be satisfied on the full order model. Our two step approach is a systematic way to mitigate the curse of dimensionality that hampers the applicability of formal synthesis techniques to complex CPS. Our results are illustrated with simulations showing how the synthesized controller enforces all the desired specifications and offers improved performance with respect to a controller that was utilized to obtain walking experimentally on the bipedal robot AMBER 2.
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