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Multi-population Genetic Algorithm with the Actor Model Approach to Determine Optimal Braking Torques of the Articulated Vehicle

Conference paper
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Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 283)

Abstract

The paper presents an application of message driven optimization to control braking torques on wheels of an articulated vehicle to restore stability during an untripped rollover maneuver. The numerical model of the articulated vehicle and dynamic optimization have been used to calculate appropriate braking torques for each wheel in order to restore stability. The optimization problem requires the equations of motion to be integrated at each optimization step and it is a time-consuming task. Therefore, parallel computing with the use of the Actor Model system has been proposed. The Actor Model has been implemented in the Multi-Population Genetic Algorithm. This paper presents a formulation of Multi-Population Genetic Algorithm with the actor system and results obtained from dynamic optimization.

Keywords

Multibody system Articulated vehicle Optimization Actor model Multi-population Genetic Algorithm Parallel computing 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

Authors and Affiliations

  1. 1.University of Bielsko-BialaBielsko-BialaPoland

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