Adaptive sliding mode guidance law with prescribed performance for intercepting maneuvering target

This paper describes sliding mode guidance laws with prescribed performance for maneuvering targets. The proposed guidance laws, which combine a novel error variable function with a new sliding mode surface, ensure that the line of sight (LOS) angle converges to the desired value and the LOS tracking error converges to an arbitrarily small residual set faster than some pre-designed rate. By combining the system tracking error with the prescribed performance function, a novel error variable function is designed and a new sliding mode surface is proposed. The key concept in this approach is to transform the prescribed performance constraint problem into that of the boundedness of the error variable function. The boundedness of the novel sliding mode surface ensures that the system state converges according to the prescribed performance. Additionally, this paper discusses the problem whereby the upper bound of the aggregate uncertainty, including the target information, is unavailable. An adaptive guidance law is presented for this scenario. Finally, simulation results are compared with those using other guidance laws. Numerical simulations show that the guidance laws presented in this paper achieve effective performance and can ensure the LOS angle converges to the desired value.