Open AccessOptimised Combinatorial Control Strategy for Active Anti-Roll Bar System for Ground Vehicle
Author(s) -
Noraishikin Zulkarnain,
Hairi Zamzuri,
Sarah Atifah Saruchi,
Aini Hussain,
Siti Salasiah Mokri,
Alias Jedi,
Noorhelyna Razali,
Ili Najaa Aimi Mohd Nordin
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.11.20789
Subject(s) - sorting , bar (unit) , controller (irrigation) , genetic algorithm , process (computing) , control theory (sociology) , computer science , control (management) , point (geometry) , engineering , algorithm , artificial intelligence , mathematics , machine learning , physics , meteorology , agronomy , biology , operating system , geometry
The objective of this paper is to optimise the proposed control strategy for an active anti-roll bar system using non-dominated sorting genetic algorithm (NSGA-II) tuning method. By using an active anti-roll control strategy, the controller can adapt to current road conditions and manoeuvres unlike a passive anti-roll bar. The optimisation solution offers a rather noticeable improvement results compared to the manually-tuned method. From the application point of view, both tuning process can be used. However, using optimisation method gives a multiple choice of solutions and provides the optimal parameters compared to manual tuning method.