LMPM position control with Luenberger observer using genetic algorithms

Linear motors tend to be indispensable at present. Whether they are utilize in health service or in automation industry. It is certain that companies is always looking for something `more´ and linear motors have it. Therefore the aim of this paper is to find better solution for introduced task. How to achieve higher precision in LMPM position control? How to adjust optimal controller parameters? This paper contains answers for more than these questions and in addition compares in more detail Pole-placement method with genetic algorithm, as well.