An extensive research activity have been devoted to the problem of induction motor control over the last decade. Most of the proposed controllers have been designed under the assumption that the motor is unsaturated. As this is not the case in realistic situations the expected performances, especially during transient periods, may not be achieved. In this paper, an adequate model that rigorousl...

A novel robust adaptive controller is presented for a wide class of strict feedback uncertain nonlinear system with unknown virtual control coefficients under bounded exogenous disturbances. Combined Nussbaum gain with the backstepping technique, the proposed design algorithm, which does not require a priori knowledge of the signs of the unknown virtual control coefficients, is proved to be abl...

The problem of controlling single-phase shunt active power filter is addressed in presence of nonlinear loads. The control objective is twofold: (i) compensation of harmonic and reactive currents absorbed by the nonlinear load; (ii) regulation of the inverter output capacitor voltage. A two-loop cascade control strategy is developed that includes an inner-loop designed, using the backstepping t...

A novel adaptive control approach is proposed to solve the globally asymptotic state stabilization problem for uncertain purefeedback nonlinear systems in the pseudo-affine form. The pure-feedback nonlinear system under consideration is with nonlinearly parameterised uncertainties and possibly unknown control coefficients. Based on the parameter separation technique, a backstepping controller i...

A robust motion controller based on neural network and backstepping technique is proposed for a twoDOF low-quality mobile robot (MR). There are two main components in the motion controller. One is the tracking controller, which guarantees the MR follows the reference trajectory; the other one is the wheellevel inverse NN controller, which compensates the dynamics of the MR. Simulation results a...

This paper investigates robust adaptive switching controller design for Markovian jump nonlinear systems with unmodeled dynamics and Wiener noise. The concerned system is of strict-feedback form, and the statistics information of noise is unknown due to practical limitation. With the ordinary input-to-state stability ISS extended to jump case, stochastic Lyapunov stability criterion is proposed...

In this paper, synchronization of two chaotic signals is studied and analyzed. A nonlinear recursive backstepping scheme is utilized to design an appropriate control input signal that achieves synchronization between the two chaotic signals. For the sake of comparison, an alternative master-slave synchronizing controller is designed and the two controllers are compared. Numerical simulations ar...

An intelligent backstepping sliding-mode control system using radial basis function network (RBFN) for a two-axis motion control system using permanent magnet linear synchronous motors (PMLSMs) is proposed. First, single-axis motion dynamics with the introduction of a lumped uncertainty, including cross-coupled interference between the two-axis mechanism, is derived. Then, to improve the contro...

In this paper a new excitation control is developed for multimachine power systems that improves the transient stability. The design is based on the sliding mode technique which is applied on an equivalent model of the system obtained by using the backstepping technique. However, the conventional “sign” method with constant gains is replaced by the boundary layer sliding mode technique with tim...