This newly developed design strategy combines advantage of H2 and H∞ control syntheses and gives a powerful multi-objectives design addressed by the linear matrix inequalities (LMI) technique.
Following the works presented in St Petersburg during the 16th IFAC Symposium on Automatic Control in Aerospace, Airbus has been working on the design and evaluation of more integrated control laws, taking into account multi-objectives design criteria, gathering from the very beginning the specifications in term of handling qualities, comfort, loads, and robustness.
The second application considers a Robust Multi-Objective Design Optimisation (RMDO) to minimise total weight of HCS and to minimise both, the normalised mean displacement and the standard deviations of displacement, considering critical load cases.
Specifically, a performance-based multi-objective design optimization framework for nonlinear/hysteretic multi-degree-of-freedom (MDOF) structural systems subject to evolutionary stochastic excitation is formulated.
Minimization of multi-objective design optimization which consists of range and weight is performed and the design result shows the feasibility and effectiveness of the present multi-fidelity technique under MDO problem.
The proposed ILP model has multi objectives cost function.
Both systems are coupled and design optimization based on multi objective genetic algorithm (MOGA), is used to obtain optimized solution of the attitude angle and eccentricity for the combination of operating speed and load.
The automatic loop is strictly designed around an innovative Multi Objective Evolutionary Algorithm (MOEA) developed at University of Padua, namely the GeDEA-II.
Different cases are analysed on a sample 1500kVA transformer, which is designed by existing technique and the proposed multi objective optimization problem formulation approach and the performances of the competing transformers are compared.
This paper addresses the concept-based multi-objective problem by proposing two novel multi objective evolutionary algorithms.
The obtained results show the soundness of the proposed multi objective optimization technique and its feasibility to be adopted as suitable methodology for optimal design of permanent magnet flux switching generator for wind application.
