周立芳; 邵之江
ZHOU Lifang; SHAO Zhijiang
摘要: Mixed-weight least-squares (MWLS) predictive control algorithm, compared with quadratic
programming (QP) method, has the advantages of reducing the computer burden, quick
calculation speed and dealing with the case in which the optimization is infeasible. But it
can only deal with soft constraints. In order to deal with hard constraints and guarantee
feasibility, an improved algorithm is proposed by recalculating the setpoint according to
the hard constraints before calculating the manipulated variable and MWLS algorithm is used
to satisfy the requirement of soft constraints for the system with the input constraints
and output constraints. The algorithm can not only guarantee stability of the system and
zero steady state error, but also satisfy the hard constraints of input and output
variables. The simulation results show the improved algorithm is feasible and effective.