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The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞ controllers...
In this paper several optimal control strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strategies are based on different control configurations involving the power converters associated to the hybrid source. Given certain desired performances, Linear Matrix Inequalities methods are used to solve the controller design...
This study develops a robust modeling and stabilization framework for an interconnected lake-aquifer system in the field of hydrology. The conventional lake-aquifer dynamics are transformed into a multi-input multioutput linear time-invariant model with a bounded uncertainty. The robust performance of the system is obtained through an H-infinity controller to address a bounded model uncertainty, satisfactory...
Underwater vehicles present a difficult control-system design due to their nonlinear dynamics, uncertain models, and the presence of disturbances that are difficult to measure or estimate. A multivariable design based on backstepping jointly with a simple optimization algorithm, that minimizes the energy consumption, is able to carry out the control of this system taking into account the uncertainties...
The paper considers the application of Robust Optimization (RO) technique to model predictive control (MPC). Robust Optimization has received considerable attention recently as a result of the well accepted and proven interior-point method. The robust optimization has been investigated and applied to various application areas. It is of interest to see the application of robust optimization method...
A new approach to computing the mixed /spl mu/ upper bound (v) is presented. The method exploits the fact that a positive definite matrix V(/spl alpha/) becomes singular when the scalar parameter a decreases to a critical value for a given frequency. A two-level optimization strategy is used with a bisection algorithm branching on the definiteness of V in an outer loop, and a semi-definite programming...
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