Hybrid PID and Advanced Algorithm-Based Control for Enhanced Active Suspension Performance

Authors:
Sambhrant Srivastava, Vijay Kumar, Harvinder Singh, Rajwinder Singh, V. Ashok, Mika Sillanpää

Addresses:
Department of Mechanical Engineering, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India. Department of Mechanical Engineering, Chandigarh Engineering Landran, Mohali, Punjab, India. Department of Robotics and Automation, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Chemical Engineering Technology, University of Johannesburg, Johannesburg, Gauteng, South Africa. 

Abstract:

This study provides a thorough assessment of active suspension control strategies, emphasising the efficacy of traditional PID control, a novel algorithm, and their combined implementation. The analysis evaluates system stability, vibration attenuation, displacement regulation, and acceleration response across diverse operating conditions, including white noise input. Results show that PID control effectively reduces vibration and maintains baseline performance stability in active suspension systems. The proposed new algorithm, on the other hand, shows better adaptability and dynamic response, especially in the presence of random disturbances. The new algorithm stands out because it cuts acceleration by 50%, demonstrating its effectiveness at reducing vehicle body vibration and making the ride more comfortable. The hybrid control method, which combines PID control with the new algorithm, gives the best overall performance, with better stability, reliability, and optimised displacement and acceleration characteristics. Comparative results show that the new algorithm improves both displacement and acceleration control beyond what PID alone can achieve, making it easier to handle across a wider range of driving situations. These results show how the proposed control strategy could transform active suspension systems, setting a new standard for vehicle dynamics and improving comfort, safety, and performance.

Keywords: Vehicle Dynamics; Passive Suspensions; Time-Domain Analysis; System Stability; Vibration Attenuation; Displacement Regulation; Suspension Systems; Driver-Selectable Tuning.

Received on: 18/09/2024, Revised on: 15/11/2024, Accepted on: 07/02/2025, Published on: 15/12/2025

DOI: 10.64091/ATIAS.2025.000247

AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 4 , Pages: 172-184

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