Prescribed performance neural control to guarantee tracking quality for near space kinetic kill vehicle

• Published in: Journal of systems engineering and electronics 2019-06, Vol.30 (3), p.573-586
• Main Authors: Zhang, Tao, Li, Jiong, Li, Weimin, Wang, Huaji, Lei, Humin
• Format: Article
• Language: English
• ISSN: 1004-4132
• DOI: 10.21629/JSEE.2019.03.15

A prescribed performance neural controller to guaran-tee tracking quality is addressed for the near space kinetic kill vehi-cle (NSKKV) to meet the state constraints caused by side window detection. Different from the traditional prescribed performance control in which the shape of the performance function is constant, this paper exploits new performance functions which can change the shape of their function according to different symbols of initial errors and can ensure the error convergence with a small over-shoot. The neural backstepping control and the minimal learning parameters (MLP) technology are employed for exploring a pre-scribed performance controller (PPC) that provides robust tracking attitude reference trajectories. The highlight is that the transient performance of tracking errors is satisfactory and the computa-tional load of neural approximation is low. The pseudo rate (PSR) modulator is used to shape the continuous control command to pulse or on-off signals to meet the requirements of the thruster. Numerical simulations show that the proposed method can achieve state constraints, pseudo-linear operation and high accuracy.