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Efficient oscillation detection for verification of mechatronic closed-loop systems using search-based testing

机译:高效振荡检测使用基于搜索的测试验证机电闭环系统的验证

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In mechatronic system design, the systematic early-stage verification in simulation environments is a crucial aspect. In particular, the development of highly sophisticated and well performing controllers requires complementary testing by extensive simulations. The assessment and evaluation of the control strategy and its tuning is ideally carried out by specialists and is usually very time consuming. Due to time constraints, often only the nominal configuration and a limited number of other configurations are considered in the simulation-based analysis of the closed-loop system. To cover a more comprehensive set of test cases and speed up the analysis, assistive and automated tools are essential. This paper proposes a method to systematically search for oscillations in closed-loop mechatronic systems, which, in most cases, indicate a poor control performance or even an unstable system behavior. Although oscillation detection methods are very well established in the process industry, these methods do not directly apply to mechatronic systems where frequent changes of the operating points and tracking of fast trajectories have to be taken into account. A recently proposed method which can cope with these challenges uses the Empirical Mode Decomposition (EMD) combined with an assessment of the decomposed modes. This is the basis for the construction of a normalized and continuous oscillation index, which provides a suitable measure for the oscillation strength. The performance of the selected EMD approach compared to other state-of-the-art concepts is illustrated by measurement data of a hydraulic valve. The introduced oscillation index serves as an objective function for a Search-based Testing (SbT) approach to systematically select those parameter combinations which yield a worst-case scenario for the closed-loop system. The high potential of the combination of SbT with an oscillation-based objective function for the automated verification of closed-loop mechatronic systems is demonstrated for the example of a goods lift.
机译:在机电系统设计中,仿真环境中的系统早期验证是一个至关重要的方面。特别地,高度复杂和良好的控制器的发展需要通过广泛的模拟进行互补测试。对控制策略及其调整的评估和评估理想地由专家进行,通常是非常耗时的。由于时间约束,在闭环系统的基于仿真分析中,通常仅考虑标称配置和许多其他配置。要涵盖更全面的测试用例,并加快分析,辅助和自动化工具至关重要。本文提出了一种系统地搜索闭环机电系统中的振荡的方法,在大多数情况下,在大多数情况下表明控制性能差或甚至不稳定的系统行为。虽然在工艺行业中建立了振荡检测方法,但这些方法不直接适用于机电系统,其中必须考虑频繁变化的运行点和跟踪快速轨迹。最近提出的方法可以应对这些挑战,使用经验模式分解(EMD)与分解模式的评估相结合。这是建造归一化和连续振荡指数的基础,为振荡强度提供合适的措施。与其他最先进的概念相比,所选择的EMD方法的性能由液压阀的测量数据说明。引入的振荡索引用作搜索的搜索测试(SBT)方法的目标函数,以系统地选择这些参数组合,从而产生闭环系统的最坏情况场景。对于货物提升的示例,对具有基于振荡的自动验证的SBT的组合具有基于振荡的目标函数的高电位。

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