Title: Firing-on-the-move stability system for armoured vehicle: design and optimisation of disturbance rejection control to reject recoil force

Authors: Vimal Rau Aparow; Khisbullah Hudha; Zulkiffli Abd Kadir; Noor Hafizah Amer; Muhamad Murrad

Addresses: Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 56000 Kuala Lumpur, Malaysia ' Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 56000 Kuala Lumpur, Malaysia ' Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 56000 Kuala Lumpur, Malaysia ' Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 56000 Kuala Lumpur, Malaysia ' Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 56000 Kuala Lumpur, Malaysia

Abstract: Recoil force creates unwanted yaw moment at the centre of gravity of armoured vehicles. This moment causes instability condition and diverts the armoured vehicle from its intended direction after firing. This research is focused on developing an active disturbance rejection control to overcome the effect of recoil force using inner and outer loop controls. The outer loop control is designed based on two feedback loops known as firing-on-the-move (FOM) as the first feedback loop and active front wheel steering (AFWS) as the second feedback loop. The outer loops are designed to encounter disturbance caused by gun force and to improve stability condition of the vehicle. Optimisation technique using Taguchi method and genetic algorithm are used to identify most dominant outer loop control as well as to optimise the hybrid controller parameters, Neuro-PI. The simulation results show that controller has improved the handling performance of the armoured vehicle after the firing impact.

Keywords: FOM; firing-on-the-move feedback; AFWS; active front wheel steering feedback; armoured vehicle; genetic algorithm; Taguchi method; neuro-PI controller.

DOI: 10.1504/IJHVS.2019.101890

International Journal of Heavy Vehicle Systems, 2019 Vol.26 No.5, pp.599 - 627

Received: 04 Aug 2016
Accepted: 01 Dec 2016

Published online: 12 Aug 2019 *

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