The application relates to the technical field of automobile control, in particular to a
safety control method,
system and device for
automatic steering of an unmanned vehicle, wherein, in the
safety control method, in the case that an
actuator attack occurs in the
automatic steering control process of the unmanned vehicle, it is assumed that the
actuator attack signal has no specific assumption rule, the accurate actual
attack signal is obtained after nonlinear mapping and weighted summation
processing in a neural
network method, the actual
control signal input under the
actuator attack is constructed based on the actual attack
signal, then the
integral sliding mode strategy is used to design a sliding mode reaching law, the sliding mode controller signal is constructed in combination with the actual attack signal, and the sliding mode controller safety signal range is obtained in combination with the derivative of the designed
Lyapunov function, so that the unmanned vehicle can be automatically and safely steered under the actuator attack, and the
safety control of the
automatic steering of the unmanned vehicle is realized.