Optimal State Estimation of Air Handling Unit System without Humidity Sensor using Unscented Kalman Filter

One of the main Heating, Ventilating and Air Conditioning (HVAC) devices which is located on the path of coolers or boilers is the air handling unit (AHU). AHU is a device which provides healthy and clean air by providing proper temperature and humidity. There are a lot of nonlinearities and couplings among variables of this system which makes design of the control system and state estimation, an attractive and challenging problem. In this paper, purpose is to design an unscented Kalman filter (UKF) based on scaled unscented transformation (UT) for state estimation of the AHU system controlled via a linear quadratic regulator (LQR). This filter employs UT and statistical characteristics to calculate more terms of the Taylor extension and increase estimation accuracy. Using UT preserving nonlinear characteristics of the AHU without linearization, offers an optimal estimation with proper speed and accuracy which can be used for any kind of state feedback controller. Simulation results demonstrate proper performance of the proposed method compared to extended kalman filter (EKF).

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