The invention discloses a design method for an LQG controller of an LPV
system based on data driving. The method comprises steps of S1, building a
system equation, carrying out the equal-time-intervalsampling of sensor inputs under different parameter conditions, carrying out the
order reduction of the sensor inputs through a POD method, and obtaining an
order reduction basis; S2, under the condition of different parameters, a
system filtering algebra
Riccati equation and a controller algebra
Riccati equation being calculated respectively, and a
filter gain and a controller
gain being obtained; S3, a
database being established, reduced-order bases of all prior parameters and the two gains obtained in the S2 being in one-to-one correspondence and stored in the
database, the reduced-order bases serving as learning bases of a
machine learning classifier, a proper
machine learning model being selected, the learning bases in the
database serving as a
training set, the two corresponding
gain parameters serving as labels, and the classifier model being designed; wherein the classifier model is the LQG controller. The controller can be used online in real time. According to the method, the stable
reaction speed and control precision of the system are effectively improved, and the interference can be greatly reduced.