Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities

Abstract

Purpose

The purpose of the proposed research methodology is to control the trajectory tracking of EDRM and also to cancel out the effect of no-smooth nonlinearities, which affect the system performance badly.

Design/methodology/approach

Robust adaptive neural network (RANN)-based backstepping control design methodology is presented in this paper. The proposed design methodology improves the trajectory tracking and running mean error.

Findings

The running mean error results show that the convergence of the proposed RANN-based backstepping technique is very fast as compare to the conventional PD control and due to this proposed control technique, the EDRM follows its desired trajectory perfectly.

Practical implications

The EDRM trajectory tracking performance increases which leads to a better working position of EDRM.

Originality/value

The originality of this research article is 93 per cent.

Citation

Jamil, M.U., Kongprawechnon, W. and Raza, M.Q. (2016), "Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities", Aircraft Engineering and Aerospace Technology, Vol. 88 No. 1, pp. 137-150. https://doi.org/10.1108/AEAT-09-2014-0150