– 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.
– 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.
– 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.
– The EDRM trajectory tracking performance increases which leads to a better working position of EDRM.
– The originality of this research article is 93 per cent.
Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities
Aircraft Engineering and Aerospace Technology: An International Journal ; 88 , 1 ; 137-150
04.01.2016
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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