In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon predictive window is selected. The continuous set MPC is used in the second framework. In this case the predictive horizon contains several samples. The computational complexity of the algorithm is reduced by applying its explicit version. Different implementation aspects of both MPC structures, for instance the model used in prediction, complexity of the control algorithms, and their properties together with the noise level are analyzed. The effectiveness of the proposed approach is validated by some experimental tests.
The paper aims to present the novel control structures for a drive system with an elastic connection. Two control structures based on forced dynamic control (FDC) laws are investigated. The first one is based on the state controller approach, the second one on cascade methodology. These two approaches ensure different dynamic properties of the drive system. In the first approach, called full-FDC, the ability to remove the effect of the load torque from the load speed is assured, but the shaft torque cannot be directly limited. In the second approach the possibility of fast elimination of the load torque effect is limited, yet the shaft torque can be fully controlled. The detailed design methodology of both control structures is presented in the paper. Their properties are analyzed through simulation and experimental studies.
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