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Experimental Investigation on Genetic Algorithm Optimized Proportional Integral Derivative Based Active Suspension System KCG College of Technology
- Format:
- Book
- Conference/Event
- Author/Creator:
- A, Arivazhagan, author.
- Conference Name:
- Noise & Vibration Conference & Exhibition (2025-05-12 : Grand Rapids, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- In this work, Genetic Algorithm (GA) optimized Proportional Integral Derivative (PID) controller is employed in the active suspension. The PID gain values are optimally tuned based on the objective function by the Integral Time Absolute Error (ITAE) criteria of various suspension measures like vehicle body displacement, suspension and tire deflections. The proposed GAPID controller is experimentally validated through the 3-DOF quarter-car (QC) test rig model. The fabricated model with passive suspension system (PASS) and active suspension system (ACSS) with an electrical actuator is presented. The schematic representation of the fabricated test set-up with and without ACSS is also illustrated. Further, simulation and experimental response of the fabricated model with and without ACSS are compared. It is identified that the proposed GAPID controller attenuates the sprung mass acceleration by about 41.64 % and 29.13 % compared with PASS for the theoretical as well as experimental cases respectively
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-0014
- Access Restriction:
- Restricted for use by site license
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