An advanced predictive control approach to the ALSTOM gasifier problem

Predictive-optimal control is able to deal with many practical control issu es, such as guarantees of nominal stability, nominal performance optimizati on and constraint handling. It is also particularly easy to apply to a syst em that is well approximated by a linear model such as with this benchmark problem. Here the aim is to illustrate the efficacy of two novel approaches to predictive control. In the first approach the system is first stabilize d with a simple control law. The predictive control is then added as an out er-loop optimization for constraint handling. The second approach is comput ationally more efficient; here constraints are handled by a systematic mixi ng of two stabilizing control laws.