Optimization of functional Spirulina cookies on their sensory attributes

This Paper presents two adaptive vehicle suspension control methods, which significantly improve the performance of mechatronic suspension systems in full car model by absorbing shocks caused by bumpy roads and preventing vibrations from reaching the cockpit and providing stability and coherence required. The first control approach is an extension to the Adaptive Neuro-Fuzzy Inference System (ANFIS) called Extended adaptive Neuro fuzzy inference system (EANFIS). The second control approach is a special type of multi-inputs multi-outputs ANFIS model called Co-Active adaptive Neuro fuzzy inference system (CANFIS). MATLAB Simulink has used to build controllers and the full vehicle active suspension model with seven degrees of freedom. Three types of disturbances have been applied individually as excitations to test the robustness of the proposed controllers. In addition, a comparison between EANFIS controller, CANFIS controller and open loop model (passive suspension) has made with the three types of disturbances.