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Most of the industial active magnetic bearings (AMBs) are controlled by PID-Controllers. Usually a time-consuming iterately procedure is involed to design those PID-Controllers. In this contribution an optimization strategy is developed to design a complex PID-Controller. Multi-Objective Genetic Algorithms (MOGAs) are employed as the core of the complex optimization procedure to be used. The results are studied. Core of this contribution is the development of the optimization strategy, especially the combination of frequency and time domain-based com-ponents as well as the strategy for complex PID-Controller design. For validation purposes, a comparison between simulation and experimental results are presented in part II of the contribu-tion .

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Booktitle: Proceedings of ISMB13