The invention discloses a
system error-based parameter self-setting method of an
MIMO full-format model-free controller. According to the invention, a
system error set is used as input of a BP neuralnetwork, and the BP neural network performs forward calculation and outputs a
penalty factor, a step factor and other
MIMO full-format no-model controller to-be-set parameters through an output layer.The calculation is performed by adopting a
control algorithm of the
MIMO full-format model-free controller, and then a control input vector for a controlled object is obtained through calculation. The value of a
system error function is minimized as a target, and the
gradient descent method is adopted. The gradient information sets of all to-be-set parameters are respectively set according to thecontrol input and the reverse propagation calculation of the
system error is performed. The hidden-layer
weight coefficient of the BP neural network is updated on line in real time, and then the hidden-layer
weight coefficient is outputted for realizing the parameter self-setting of the controller based on the
system error. According to the invention, the self-setting method of the MIMO full-format model-free controller is proposed based on the
system error. The problem of the parameter
online setting of the controller can be effectively solved. The
good control effect of the MIMO system is achieved.