Model-Free Adaptive Controller Design Based on Data-Driven ILC Cement Raw Meal Vertical Mill

Based on the analysis of the process of cement raw meal vertical milling system, this paper points out the key control output in the process, the mill vibration, and designs a controller to control it by iterative learning and model-free adaptive control methods. Firstly, the PPD state observer is designed for dynamic linearization, and the controller design is based on the MFAC method of compact format, and then the iterative learning method is used to tune the controller parameters. Finally, simulation verifies that the proposed method has a good tracking effect.