Title: Hybrid control strategy for a semi active suspension system using fuzzy logic and bio-inspired chaotic fruit fly algorithm,
Abstract: This study proposes a control strategy for the efficient semi active
suspension systems utilizing a novel hybrid PID-fuzzy logic control scheme .In
the control architecture, we employ the Chaotic Fruit Fly Algorithm for PID
tuning since it can avoid local minima by chaotic search. A novel linguistic
rule based fuzzy logic controller is developed to aid the PID.A quarter car
model with a non-linear spring system is used to test the performance of the
proposed control approach. A road terrain is chosen where the comfort and
handling parameters are tested specifically in the regions of abrupt changes.
The results suggest that the suspension systems controlled by the hybrid
strategy has the potential to offer more comfort and handling by reducing the
peak acceleration and suspension distortion by 83.3 % and 28.57% respectively
when compared to the active suspension systems. Also, compared to the
performance of similar suspension control strategies optimized by stochastic
algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO)
and Bacterial Foraging Optimization (BFO), reductions in peak acceleration and
suspension distortion are found to be 25%, 32.3%, 54.6% and 23.35 %, 22.5%, 5.4
% respectively.The details of the solution methodology have been presented in
the paper.