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As has been shown by many recent papers, the concept of model predictive control (MPC) is suitable for applications in electrical drive control which exhibits nonlinear model dynamics with hard constraints. In case of large-scale optimization the MPC may be time-consuming, which is unfeasible for real applications. The usual way to reduce the computational costs is to discretize the control domain,...
The permanent magnet synchronous motor (PMSM) control poses a challenging task since the dynamics of the system is nonlinear, there are hard constraints, and computational costs should be kept as low as possible. One way how to satisfy all of the requirements is to use the model predictive control (MPC) with a small length of short horizon in the MPC criterion and then try to replace the remaining...
This paper deals with a possibility of applying multiple model change detection for crack detection in a beam. The beam is considered here to be a single-span uniform Euler-Bernoulli beam with rectangular cross-section and simply supported ends. The crack is assumed to be fully open single-sided transverse crack with a fixed depth. By rewriting general linear models of beams with different positions...
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