Particle swarm optimisation application in designing sliding-mode and proportional-derivative fuzzy logic controllers on multi-body dynamic vehicle model

Key Points

• The aim is to apply particle swarm optimisation to design effective sliding-mode and proportional-derivative fuzzy logic controllers for vehicle dynamics.
• Utilised particle swarm optimisation for controller design.
• Developed sliding-mode and proportional-derivative fuzzy logic controllers.
• Applied designs to a multi-body dynamic vehicle model for evaluation.
• Achieved improved control performance in the multi-body vehicle model.
• Demonstrated enhanced stability and responsiveness with the designed controllers.