Applying Data-driven techniques to online updated PID controller for calciner outlet temperature

An online updated proportion integration differentiation (PID) controller is proposed for calciner outlet temperature using input/output (I/O) data. Firstly, the adaptive observer is used to estimate the pseudo-partial derivative (PPD) parameter of compact form dynamic linearization, which is used to dynamically linearize a nonlinear system. Secondly, The proposed PID parameter setting principles is only based on the PPD parameter estimation derived online from the I/O data of the controlled system. Finally, the simulation results show the good tracking control performance of the proposed method.