An LMI-based decoupling control for electromagnetic formation flight

Electromagnetic Formation Flight Control Using Dynamic Programming

Electromagnetic formation flight (EMFF) is an enabling technology for a number of spacecraft mission architectures. The RINGS program will be the first time EMFF is demonstrated in a microgravity environment. Nonlinearities due to magnetic field interactions preclude linear feedback controllers from being used to control the RINGS system. Approximate dynamic programming is explored in this pape...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

An LMI-based Analysis of Stability Margins in Adaptive Flight Control

In this paper we show that, by casting the error dynamics of an adaptive control system into a Linear Parameter Varying form, we can apply linear matrix inequality techniques and calculate stability margins for adaptive control systems. More precisely, by taking the viewpoint that nonlinear systems, in particular some classes of adaptive controllers, can be parameterized by a set of linear syst...

Electromagnetic Formation Flight Progress Report : September 2002

An LMI-Based Genetic Algorithm for Guaranteed Cost Control

In this paper a new approach for the Guaranteed Cost Control Problem (GCCP) is presented, using two efficient tools, Linear Matrix Inequalities (LMIs) and Genetic Algorithms (GAs). A linear system with parametric uncertainty is considered for which a control law is to be found, minimizing a performance index. In a previous paper, an efficient method has been presented by using an LMI optimisati...