Adaptive Dynamic Surface Guidance Law with Input Saturation Constraint and Autopilot Dynamics

A novel guidance law with input saturation constraint and autopilot dynamics is designed using block dynamic surface control. Different from conventional dynamic surface control, which employs n-1 low-pass filters to avoid the complexity arising from the explosion of terms, in the designing process of the guidance law, n low-pass filters have been used, where the extra auxiliary low-pass filter is able to compensate for the effect of input saturation. The guidance command is derived by regarding the target maneuvers as bounded disturbance inputs whose upper bound can be estimated online by an adaptation law. The guidance law is able to provide a high guidance precision on intercepting either a non-maneuvering target or a maneuvering target because it is robust against disturbances. Numerical simulations show that the proposed guidance law offers better performance than some other advanced guidance laws, which have not taken autopilot dynamics into account.