Online identification algorithm for air conditioning systems

The air conditioning system can be described as a first-order-plus-delay-time model with time variation. By the recursive least squares (RLS) algorithm, the process parameters of the air conditioning system can be estimated but the delay-time can not be identified. Puts forward an online identification algorithm based on the gradient method which can estimate time-varying process parameters and delay-time simultaneously. Tests the identification algorithm in the temperature control system of the testing room of an air enthalpy-difference test bed. The results show that the algorithm has higher identification accuracy and stable performance.