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A state event detecting algorithm for hybrid dynamic systems

机译:混合动力系统状态事件检测算法

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Accurately detecting state events is critical for hybrid dynamic systems. However, it is difficult to locate the exact point of a state event in systems with singularities or systems in which event functions are of multiple roots. Overcoming these difficult situations depends on accurately predicting event functions and a reliable root-finding method. A carefully constructed extrapolation polynomial, which is derived from a variable-step multi-step integration method, is applied to predict values of event functions. Due to not using state values of the next time point, the polynomial can be employed to determine the integration step size by checking potential events in all situations. The extended interval Newton's method is employed to find all roots in a certain time interval, which is determined by the existing integration method. The procedure of the root non-existence test and root finding are combined into one. Simulation results show that the algorithm is effective under several different critical situations. By the algorithm, model singularities are found on time and simulation failures are avoided. The event detecting algorithm can be combined with the existing integration method.
机译:准确检测状态事件对于混合动力系统至关重要。但是,在具有奇异性的系统或事件函数具有多个根的系统中,很难找到状态事件的确切点。克服这些困难情况取决于准确地预测事件功能和可靠的寻根方法。从可变步长多步积分方法派生的精心构造的外推多项式可用于预测事件函数的值。由于不使用下一个时间点的状态值,因此可以使用多项式通过在所有情况下检查潜在事件来确定积分步长。扩展间隔牛顿法用于在一定的时间间隔内找到所有根,这由现有的积分方法确定。根源不存在测试和根源发现的过程结合在一起。仿真结果表明,该算法在几种不同的紧急情况下都是有效的。通过该算法,可以及时发现模型奇异点,避免了仿真失败。事件检测算法可以与现有的集成方法结合使用。

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