Adaptive Super-Twisting Algorithm-Based Nonsingular Terminal Sliding Mode Guidance Law. (4th July 2020)

• Record Type: Journal Article
• Authors: Yang, Fang; Zhang, Kuanqiao; Yu, Lei
• Other Names: Wang Yu Academic Editor.
• Is Part Of: Journal of control science and engineering. Volume 2020(2020)
• Publication Date: 2020-07-04
• Subjects: Control theory -- Periodicals; 629.831205
• DOI: 10.1155/2020/1058347
• Languages: English
• ISSNs: 1687-5249

Abstract

Abstract : A nonsingular fast terminal sliding mode guidance law with an impact angle constraint is proposed to solve the problem of missile guidance accuracy and impact angle constraint for maneuvering targets. Aiming at the singularity problem of the terminal sliding mode, a fast terminal sliding mode surface with finite-time convergence and impact angle constraint is designed based on fixed-time convergence and piecewise sliding mode theory. To weaken chattering and suppress interference, a second-order sliding mode supertwisting algorithm is improved. By designing the parameter adaptive law, an adaptive smooth supertwisting algorithm is designed. This algorithm can effectively weaken chattering without knowing the upper bound information of interference, and it converges faster. Based on the proposed adaptive supertwisting algorithm and the sliding mode surface, a guidance law with the impact angle constraint is designed. The global finite-time convergence of the guidance law is proved by constructing the Lyapunov function. The simulation results verify the effectiveness of the proposed guidance law, and compared with the existing terminal sliding mode guidance laws, the proposed guidance law has higher guidance precision and angle constraint accuracy.