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Self-optimizing mechatronic systems are a new class of technical systems. On the one hand, new challenges regarding dependability arise from their additional complexity and adaptivity. On the other hand, their abilities enable new concepts and methods to improve the dependability of mechatronic systems. This paper introduces a multi-level dependability concept for selfoptimizing mechatronic systems and shows how probabilistic planning can be used to improve the availability and reliability of systems in the operating phase. The general idea to improve the availability of autonomous systems by applying probabilistic planning methods to avoid energy shortages is exemplified on the example of an innovative railway vehicle.

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Voltage sags are a major problem in present distribution systems. Therefore, different solutions are examined to compensate these sags and to avoid production losses at sensitive loads. Especially, Dynamic Voltage Restorers (DVR) are one solution to realize this goal. Presently, a system wide integration of DVRs is hampered because of costs. Voltage sag compensation requires energy storage, the amount of which depends greatly on the required voltage level (V DVR ). Present control strategies are either able to minimize the needed voltage, to allow a better utilization of the storage system or to minimize the distortions at the load. To avoid this drawback an optimized control strategy is presented in this paper, which is able to reduce the voltage amplitude and causes low distortions at the load side. In the following paper, a brief introduction of the basic DVR principle will be given. After this, different control strategies will be briefly described, before an optimized strategy is presented. Finally, simulation results will be shown to verify and prove the functionality of the presented control strategy.I.

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