A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems

Abstract

Automotive suspension systems provide passenger safety, ride comfort and vehicle handling in passenger and commercial vehicles. Through extensive research in the last couple of decades coupled with the recent advancements in technology, the improvement in vehicle handling and ride comfort have been significant by using various control strategies in semi-active and fully active suspension systems. Despite a significant number of articles available on the enhancement and improvement of vehicle suspension systems, there is certainly a lack of knowledge on various control strategies and algorithmic techniques used in the vehicle suspension system. Thereby, to address the gap, this review consecutively attempts to comprehensively explore the various research work conducted on the various control strategies used in vehicle suspension systems.

Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles

“…Optimized control algorithm [123]: To improve the smoothness of the vehicle, the control algorithm needs to take into account the vehicle's powertrain and suspension system and achieve the precise control of the vehicle's driving state through real-time monitoring and intelligent adjustment [124]. At the same time, advanced sensor technology, artificial intelligence algorithms, and vehicle dynamic models and simulation technology need to be introduced to achieve intelligent monitoring and adjustment of vehicle driving status.…”