The Model Following Neural Control Applied to Energy-Saving BLDC Air Conditioner System

An AC inverter has been widely used to air conditioner systems for energy saving. But the AC driver will generate high heat dissipation and induce high operating temperature in low speed operation conditions. The modern brushless DC motor (BLDC motor) will improve the high heat generation problem in wide operation speed. This study utilizes the model following neural control applied to modern BLDC driver. A simple approximation of plant Jacobian is proposed, the appropriate speed performance of the BLDC motor for energy saving is defined. The simulation results reveal that the proposed control system is available to control the DC air conditioner system and save energy.