Process Control of Dense Medium Separation Based on Improved Implicit Generalized Predictive Control Algorithm

摘要

In order to solve the model mismatch between density and liquid level of heavy medium suspension during the dense medium separation process, implicit Generalized Predictive Control (GPC) was applied to realize the on-line identification for model parameters and the decoupling control for density and liquid level of heavy medium suspension. And then improving the implicit GPC algorithm, it can ensure good control performance by constraining control increment to avoid solving the inverse matrix and reduce the computational complexity. The simulation result shows that improved implicit GPC is more effective for the model characteristic of the dense medium separation process with large lag and strong coupling, it has strong anti-interference capability, and the system output is still stable in the case of model mismatch.