Observer Based Nonlinear State Feedback Control of PEM Fuel Cell Systems

Optimal Feedback Linearization Control of PEM Fuel Cell

Abstract—This paper presents a new method to design nonlinear feedback linearization controller for PEMFCs (Polymer Electrolyte Membrane Fuel Cells). A nonlinear controller is designed based on nonlinear model to prolong the stack life of PEMFCs. Since it is known that large deviations between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell, feedback line...

Observer Based Dynamic Visual Feedback Control for Nonlinear Robotics Systems

This paper investigates a robot motion control problem with visual information. Firstly the model of the relativ erigid body motion (positions and rotations) and the method for the estimation of the relative rigid body motion are presented in order to derive the visual feedback system. Secondly we consider the velocit y observer and derive the dynamic visual feedback system which contains the m...

On the Control of Automotive Traction PEM Fuel Cell Systems

A Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems

This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and tha...

Time-Invariant State Feedback Control Laws for a Special Form of Underactuated Nonlinear Systems Using Linear State Bisection

Linear state bisection is introduced as a new method to find time-invariant state feedback control laws for a special form of underactuated nonlinear systems. The specialty of the systems considered is that every unactuated state should be coupled with at least two directly actuated states. The basic idea is based on bisecting actuated states and using linear combinations with adjustable parame...