This paper presents the technical aspects, theoretical analysis, and comparisons of two new permanent magnet synchronous generator (PMSG) grid-interfaced models named PMSG boost and PMSG rectifierinverter. The exact feedback linearization (EFL) control scheme is used for the effective design and stability analysis of the aforementioned models. The complexity of the EFL control laws is discussed...

In this paper, an Output Feedback Model Predictive Control for nonlinear systems is presented. The proposed output feedback control consists of the well known robust controller NCGPC (Nonlinear Continuous Time Generalized Predictive Control) and an open loop observer (a simulated model in parallel) in order to estimate the output derivatives and a regulation filter used to account for plant/mod...

Lie algebra is an area of mathematics that is largely used by electrical engineer students, mainly at post-graduation level in the control area. The purpose of this paper is to illustrate the use of Lie algebra to control nonlinear systems, essentially in the framework of mobile robot control. The study of path following control of a mobile robot using an input-output feedback linearization con...

By relying on the input–output feedback linearization approach, a novel adaptive controller for flexible joint robots is proposed in this work. First, model-based developed to get structure that useful development of controller. The version by using two techniques. To stabilize output function, an neural network used, which approximates non-linear function contains uncertainties. desired rotor ...

High-performance motion control applications require precise tracking of rapidly changing speed/position and flux trajectories. In this short paper, we present an energy-shaping controller and an input-output linearization controller for current-fed induction motors. Induction motor can be represented as the negative feedback interconnection of passive electrical and mechanical subsystems [1, 2...

In this paper, a mixed robust feedback linearization with linear GH∞ controller is applied to a nonlinear quadrotor unmanned aerial vehicle. An actuator saturation and constrain on state space output are introduced to analyse the worst case of control law design.The results show that the overall system becomes robust when weighting functions are chosen judiciously. Performance issues of the con...

Resumo: This paper presents a nonlinear controller for uncertain single-input–single-output nonlinear systems (SISO). The adopted approach is based on the feedback linearization strategy and enhanced by a fuzzy inference algorithm to cope with modeling inaccuracies and external disturbances that can arise. An application of this nonlinear controller to a second-order nonlinear system is also pr...

Abstract: In this paper, the controller introduced represent, at the best knowledge of the authors, the first application of feedback linearization technique to control a Twin Rotor Multi-input Multi-output System (TRMS). With the coupling effects considered as the uncertainties, the highly coupled nonlinear TRMS is decomposed into a horizontal and a vertical subsystem. Then, two control laws a...

We consider the coupling of two nonidentical dynamical systems using an adaptive feedback linearization controller to achieve partial synchronization between the two systems. In addition we consider the case where an additional feedback signal exists between the two systems, which leads to bidirectional coupling. We demonstrate the stability of the adaptive controller, and use the example of co...

In this paper, adaptive tracking control is considered for a class of general nonlinear systems using multilayer neural networks (MNNs). Firstly, the existence of an ideal implicit feedback linearization control (IFLC) is established based on implicit function theory. Then, MNNs are introduced to reconstruct this ideal IFLC to approximately realize feedback linearization. The proposed adaptive ...