A fast MPC algorithm for reducing computation burden of MIMO

The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.

The manipulated variables of a multivariable system with the fast MPC control structure are modulated to bit streams represented by ± 1, to replace conventional coefficient multiplication. Control variables are expressed by current control actuation approximately with a recursive relation to decrease the computation burden. The modulated bit-streams can be demodulated with demodulator and filter which make the fast MPC algorithm applicable to any device.Figure optionsDownload as PowerPoint slide