We propose a torque overlay based robust steering wheel angle control of electric power steering (EPS) for lateral control using backstepping design. The main contribution of this paper is that the proposed method is designed based on torque overlay and that the global uniform ultimate boundedness of the steering wheel angle tracking error is guaranteed using only steering wheel angle feedback ...

This paper presents backstepping controller design for tracking purpose of nonlinear system. Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization (PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. The performance is evaluated based...

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 a variation on adaptive backstepping output feedback control design for uncertain minimum-phase linear systems. Unlike the traditional nonlinear design, the proposed control method is linear and Lyapunov-based without utilizing overparametrization, tuning functions, or nonlinear damping terms to address parameter estimation error. Local stability of the closed-loop system an...

In order to improve the design method of robust controller for ship course-keeping, a nonlinear controller design is presented by combining neural network (NN) approximator with adaptive Backstepping technology. The simulation research is carried out based on the training ship "Yu long" of Dalian Maritime University as an example. The results show that the control algorithm has good adaptabilit...

It is proposed a modification of the traditional adaptive backstepping method which leads to less control effort in the problem of non-linear control. The technique, which is applicable to parametric strict feedback systems, is built on a recently introduced Invariance Principle Extension and incorporates the use of optimisation techniques based on evolutionary computation to adjust the control...

We consider the stabilization for 1-D hyperbolic differential equations with boundary input including a nonlinear disturbance. The time varying extended state observer (ESO) is designed to estimate the disturbance. Based on the estimated disturbance, we obtain an explicit controller by applying the backstepping method. It is shown that the closed-loop system of the 1-D hyperbolic differential e...