Proportional Usage of Low-Level Actions in Model Predictive Control for Six-Phase Electric Drives

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Approximate Predictive Control of Ac Electric Drives

This thesis deals with the development of model predictive control of ac electric drives with long prediction horizons and yet with computational cost of the algorithm comparable to conventional cascade control approaches. The basic idea is to approximate the cost to go function of dynamic programming taking into account long prediction horizon. For specific cases (linear model and quadratic co...

Constrained Model Predictive Control of Low-power Industrial Gas Turbine

Nowadays, extensive research has been conducted for gas turbine engines control due to growing importance of gas turbine engines for different industries and the need to design a suitable control system for a gas turbine as the heart of the industry. In order to design gas turbine control system, various control variables can be used, but in the meantime, fuel flow inserting into combustion cha...

Model Predictive Control for Electric Vehicle Charging

In this paper we present a model predictive control algorithm for scheduling electric vehicle charging. The model accounts for distribution network constraints and seeks to minimize the cost of procuring energy from the real-time market for electric vehicle charging. We present a case study for an IEEE test case distribution system.

Model-Based Predictive Control of Electrical Drives