摘要：AbstractThis paper is concerned with online parameter identification of milling behavior in fluidized bed layering granulation with external sieve-mill-cycle. A mill function is approximated with weighted Gaussian ansatz functions using a Lyapunov-based parameter estimation algorithm with a process model and plant data. The plant data is both generated by simulations and measured in experiments. In addition to previous work, the asymptotic convergence of the parameter estimator is proven theoretically. The identified mill function is validated by simulation of the process. It is shown that the plant and the identified model are in good agreement near the desired steady state.
