Smart adaptive control of an air pressure tank driven by an efficient DC driver

This research focuses on speed and air pressure control of air pressure tanks to improve a proposed aerodynamic system’s dynamic performance; the chosen system consists of an air compressor powered by a separate excited DC motor that is energised by a wind turbine generator system. The stored air process is then controlled in two ways: a proportional– integral–derivative (PID) controller, and a fuzzy logic algorithm. The air pressure tank is thus regulated and maintained at a sufficient predetermined pressure even when an air pressure level in the tank is less than the specified pressure. A pressure sensor instructs the DC motor to operate, rotating the air compressor supplying the tank with ambient air and continuing to fill the tank with air for a given period of time. From the simulation results, the best output system response was achieved using fuzzy logic. The simulation results also confirmed the robustness of the suggested smart adaptive controller.