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This study proposes a control strategy for the efficient semi activesuspension systems utilizing a novel hybrid PID-fuzzy logic control scheme .Inthe control architecture, we employ the Chaotic Fruit Fly Algorithm for PIDtuning since it can avoid local minima by chaotic search. A novel linguisticrule based fuzzy logic controller is developed to aid the PID.A quarter carmodel with a non-linear spring system is used to test the performance of theproposed control approach. A road terrain is chosen where the comfort andhandling parameters are tested specifically in the regions of abrupt changes.The results suggest that the suspension systems controlled by the hybridstrategy has the potential to offer more comfort and handling by reducing thepeak acceleration and suspension distortion by 83.3 % and 28.57% respectivelywhen compared to the active suspension systems. Also, compared to theperformance of similar suspension control strategies optimized by stochasticalgorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO)and Bacterial Foraging Optimization (BFO), reductions in peak acceleration andsuspension 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 inthe paper.

Hybrid control strategy for a semi active suspension system using fuzzy logic and bio-inspired chaotic fruit fly algorithm