Motion Path Study Based on Dynamic Simulation and Pitch Optimization Algorithm

In this paper, the dynamic simulation and optimization strategy of complex motion are deeply studied. By constructing a motion model based on isometric spiral, the complex motion trajectory of the moving subject on a two-dimensional plane is accurately described. The model combines the solving methods of differential equation and nonlinear equation to ensure the accuracy of the motion trajectory. In addition, a dynamic collision detection mechanism is introduced to improve the practicability and safety of the motion simulation. Through the pitch optimization algorithm, the optimization scheme of the motion process is further discussed to ensure the stable motion under the condition of minimum pitch. The results show the validity and reliability of the mathematical model and the algorithm framework in the dynamic simulation of complex team sports.

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Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/iceace63551.2024.10898540
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Motion Path Study Based on Dynamic Simulation and Pitch Optimization Algorithm

Ying Shi, Xiaohong Hao, Guoyue Liu
Simulation and Modeling Applications
article

Motion Path Study Based on Dynamic Simulation and Pitch Optimization Algorithm

Ying Shi, Xiaohong Hao, Guoyue Liu
article en

Abstract

In this paper, the dynamic simulation and optimization strategy of complex motion are deeply studied. By constructing a motion model based on isometric spiral, the complex motion trajectory of the moving subject on a two-dimensional plane is accurately described. The model combines the solving methods of differential equation and nonlinear equation to ensure the accuracy of the motion trajectory. In addition, a dynamic collision detection mechanism is introduced to improve the practicability and safety of the motion simulation. Through the pitch optimization algorithm, the optimization scheme of the motion process is further discussed to ensure the stable motion under the condition of minimum pitch. The results show the validity and reliability of the mathematical model and the algorithm framework in the dynamic simulation of complex team sports.

Suzhou City University
Openalex Percentile: Top 65%
Simulation and Modeling Applications
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Motion Path Study Based on Dynamic Simulation and Pitch Optimization Algorithm — Ying Shi, Xiaohong Hao, et al. · (2024) | TGRS Research Map | TGRS