In the context of the initiative Formation for Atmospheric Science and Technology demonstration (FAST), this dissertation describes the design and comparison of several nonlinear attitude controllers for TU Delft’s micro-satellite. The control requirements include robustness against model uncertainties and disturbances. To this end, five Backstepping schemes are selected for comparison: Standar...

An adaptive neural network command-filtered backstepping design algorithm is proposed for the underactuated translational oscillator with a rotating actuator (TORA). The system dynamics are transformed into nonlinear cascade through global change of coordinates. Considering weak sinusoid-type interaction and affine-free appearance in model, TORA looked at as pure feedback system. Two networks u...

In this paper, we investigate the control and synchronization of chaos in nonlinear gyros. The control analysis is based on backstepping approach that interlace the appropriate choice of a Lyapunov function, while the synchronization is based on adaptive backstepping design. The designed control functions ensures stable controlled and synchronized states for two identical nonlinear gyros. Numer...

In this correspondence, Nussbaum gains are introduced in the backstepping design to obtain adaptive controllers for systems with unknown high-frequency gain. Two kinds of modified backstepping control design schemes are developed. It is shown that both schemes can give asymptotic tracking.

A robust Sugeno type adaptive fuzzy neural network (RSAFNN) backstepping control for a two-axis motion control system is proposed in this paper. The adopted two-axis motion control system is composed of two permanent magnet linear synchronous motors (PMLSMs). The single-axis motion dynamics with the introduction of a lumped uncertainty, which includes parameter variations, external disturbances...

This paper presents an adaptive nonlinear position controller with velocity constraint, capable of combining the input-output linearization technique and Lyapunov stability theory. Based on the Lyapunov stability theory, the adaptation law of the proposed controller is derived along with the verification of the overall system’s stability. Computer simulation results demonstrate that the propose...

A novel adaptive nonlinear controller based on backstepping with integrator is proposed for motion control systems. Backstepping is a practical nonlinear control scheme based on Lyapunov design approach, which can therefore guarantee the convergence of the position tracking error to zero. We utilize the integral action in the backstepping to increase control action in the steady state against t...

The certainty equivalence and polynomial approach, widely used for designing adaptive controllers, leads to “simple” adaptive control designs that guarantee stability, asymptotic error convergence, and robustness, but not necessarily good transient performance. Backstepping and tuning functions techniques, on the other hand, are used to design adaptive controllers that guarantee stability and g...

Abstract Ball and Beam system is one of the most popular important laboratory models for teaching control systems. This paper proposes a new strategy to position ball beam system. Firstly, nonlinear controller proposed based on backstepping approach. Secondly, in order adapt online dynamic law, adaptive laws are developed estimate uncertain parameters. The stability proved Lyapunov theorem. Sim...

Traditional adaptive control assumes full control authority and lacks an adequate theoretical treatment for control in the presence of actuator saturation limits. The adaptive dynamic inversion control methodology, which uses dynamic inversion to calculate the control and adaptation to compensate for errors in the inversion due to model uncertainties, also lacks an adequate theoretical treatmen...