SUMMARYThe loop coupling reduction of multivariable systems under the presence of plant uncertainty is currently a most discussed topic. Following the ideas suggested by Horowitz, in this paper the role played by the nondiagonal controller elements is analysed in order to state a design methodology. Thus, the definition of a coupling matrix and a quality function of the non-diagonal elements come into use to quantify the amount of loop interaction and to design the controllers, respectively. This yields a criterion that makes possible to propose a sequential design methodology of the fully populated matrix controller, in the quantitative feedback theory (QFT) robust control frame. Finally, a real example with the heat exchanger of a pasteurization plant is included to show the practical use of this technique.
With the requirement to develop magnet-free motors for automotive application, more design effort is needed for thermal design as the machine temperature limits the motor performance. Thermal design procedure of automotive motor has to fully exploit the modern approaches in electrical machine thermal analysis in terms of accuracy and solving time. This paper proposes a computational-cost-effective way to obtain the optimum thermal design of an axial-flux switched reluctance motor by means of lumped circuit methods with some inputs from Computational Fluid Dynamic simulations.
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