Combined Feedback/Feedforward Velocity Control of Electrokinetically Driven Flow in a Network of Planar Microchannels

Abstract In the present study, a combined feedback/feedforward strategy will be utilized in order to control the output flow rate in a micro-T junction. First, Finite Element Model (FEM) of the electroosmotic flow in the T-junction will be generated and then this model will form a basis for generating training data for building an inverse model of the flow in the T-junction based on Adaptive Neural Fuzzy Inference System (ANFIS). This inverse model serves as a controller in the feedforward part of the system. Also, in order to make the controller robust against disturbances and uncertainties such as dimensional tolerances, a Mamdani-type fuzzy logic controller is incorporated in the feedback part of the controller. Finally, simulation results will be presented in order to establish the performance of the designed controller.

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