Dead time elimination of voltage source inverters (VSI) becomes critical for modern current controlled applications with increased requirements regarding the magnitude accuracy and harmonic distortion of an output waveform. Recently many approaches are used to compensate the dead time both in open or close loop control systems. All these schemes require additional circuits or computational effort. This paper presents a model predictive control method with embedded dead time elimination of VSI's. The classical elimination open loop scheme is combined with model predictive control (MPC) realized in state space. The results of simulation carried out with MATLAB/SIMULINK and confirming the theoretical prepositions show the effectiveness of the method for current control of VSI with passive loads. Index Terms-Model predictive control (MPC), dead-time compensation, voltage source inverter
In this paper we present an autonomous car with distributed data processing. The car is controlled by a plurality of independent sensors. For the lane detection, a camera is used, which detects the lane marks with a Hough transformation. Once the camera detects these, one of them is calculated to be followed by the car. This lane is processed in connection with the information of the other sensors of the car. These sensors check the route for obstructions or allow the car to scan a parking space and to park on the roadside if the gap is large enough. The car is built in 1:10 scale, and shows excellent results on a test track.
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