Study on Algorithm of Constrained Multivariable Generalized Predictive Control

To the multivariable system, when the input variables were constrained in the whole predictive horizon, we presented a generalized predictive self-tuning control algorithm (MGPC), the algorithm is to solve the controller using the identification results and not to be compute the Diophantine equation on line. Quadratic program was used to solve the restraint problem of MGPC, as the performance index of the MGPC was quadratic, which reduced the calculation and simplified designing of control system. The simulation result was given and showed that this control scheme was effective and can be applied to the process industry control system