Sensor-less Speed Control of Ventilation System Using Extended Kalman Filter For High Performance

This research article corroborates an indirect field-oriented control (IFOC) with an Extended Kalman Filter (EKF) based sensor-less speed control of the ventilation system at a low and medium-speed operating range. The presented study aims to reduce the power consumption of the ventilation system due to variation in steady-state error, low-speed ripple, and computational time for the drive to enhance the system’s overall performance. In this context, due to pure integral and derivatives, the low and medium-speed operation of IFOC is poor, so IFOC with EKF improves the overall system performance. The FOPI
^λ
control technique is used to optimise the proportional-integral gain of the speed and current controller for sensor-less speed control of the ventilation system. The proposed EKF speed observer with FOPI
^λ
controller increased the system’s stability and performance in steady-state operation while also improving the ventilation drive’s overall efficiency. The proposed method is implemented using the Lab VIEW interface on a digitalized 5.5 kW ventilation system.