Sliding-mode guidance law based on adaptive observation techniques
Zhaoxin Xu, Hua Wenhua, Xinglin Chen
Abstract
Zhaoxin Xu, Hua Wenhua, Xinglin Chen
Abstract
Because some feedback quantities such as high-order line-of-sight rate derivatives are not directly measurable and some inner parameters exist uncertainties, sliding-mode guidance law considering the control loop dynamics goes against the practical application in general. Based on adaptive control and observation techniques, a novel observer-based adaptive sliding-mode guidance law is presented. The observer can realize the on-line estimate of the system states and uncertainties. The nonlinear system simulations show that compared with the traditional proportional navigation and sliding-mode guidance law, provided an enough maneuvering capability exists, this guidance law can not only realize the hit-to-kill of the target, but also has the advantages of maneuvering and homing performance.
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Because some feedback quantities such as high-order line-of-sight rate derivatives are not directly measurable and some inner parameters exist uncertainties, sliding-mode guidance law considering the control loop dynamics goes against the practical application in general. Based on adaptive control and observation techniques, a novel observer-based adaptive sliding-mode guidance law is presented. The observer can realize the on-line estimate of the system states and uncertainties. The nonlinear system simulations show that compared with the traditional proportional navigation and sliding-mode guidance law, provided an enough maneuvering capability exists, this guidance law can not only realize the hit-to-kill of the target, but also has the advantages of maneuvering and homing performance.
Key concepts: Control theory (sociology), Sliding mode control, Nonlinear system, Computer science, Mode (computer interface), Observer (physics), Adaptive control, Law