NANASCFeb 14, 2017

Hybrid System Modelling and Simulation with Dirac Deltas

arXiv:1702.042745 citationsh-index: 36
AI Analysis

For researchers and engineers using Causal Block Diagram tools to simulate hybrid systems with discontinuities, this work provides theoretically founded implementations but is incremental in nature.

The paper presents symbolic and numerical approaches for simulating impulsive differential equations in hybrid systems, where impulses are treated as first-class citizens, and investigates conditions for choosing one approach over the other.

For a wide variety of problems, creating detailed continuous models of (continuous) physical systems is, at the very least, impractical. Hybrid models can abstract away short transient behaviour (thus introducing discontinuities) in order to simplify the study of such systems. For example, when modelling a bouncing ball, the bounce can be abstracted as a discontinuous change of the velocity, instead of resorting to the physics of the ball (de-)compression to keep the velocity signal continuous. Impulsive differential equations can be used to model and simulate hybrid systems such as the bouncing ball. In this approach, the force acted on the ball by the floor is abstracted as an infinitely large function in an infinitely small interval of time, that is, an impulse. Current simulators cannot handle such approximations well due to the limitations of machine precision. In this paper, we explore the simulation of impulsive differential equations, where impulses are first class citizens. We present two approaches for the simulation of impulses: symbolic and numerical. Our contribution is a theoretically founded description of the implementation of both approaches in a Causal Block Diagram modelling and simulation tool. Furthermore, we investigate the conditions for which one approach is better than the other.

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