Design of Active Suspension for All-Terrain Vehicle (ATV) with Intelligent Control Using Artificial Neural Networks (ANN)

The automotive manufacturing sector is currently witnessing remarkable progress in various domains, including the development of systems like protection and stability control. Among these advancements, the electronic control of the suspension and steering system has emerged as a pivotal technique, enhancing comfort, luxury, and safety simultaneously. Notably, the suspension system, especially for all-terrain vehicles (ATVs), holds significant importance as it ensures vehicle stability and balance on different road conditions, thereby ensuring passenger comfort. This study introduces a novel design for an Artificial Neural Network (ANN)-based Intelligent Controller specifically tailored for ATV suspension systems. The proposed controller is simulated using MATLAB under diverse disturbance scenarios, and its performance is compared against the ANN regulator, Fuzzy regulator, classic ANFIS regulator, and PID. The evaluation focuses on various aspects, such as robustness, displacement reduction, speed, and acceleration. The results showcase the outstanding performance of the proposed controller, highlighting its effectiveness in ensuring robust operation and improving key parameters like displacement, speed, and acceleration.