Market demand places great emphasis in industry on product quality. Consequently, process monitoring and control have become important aspects of systems engineering. In this article we detail the results of a 2-year study focusing on the development of a condition monitoring system for a fed-batch fermentation system operated by Biochemie Gmbh in Austria. We also demonstrate the suitability and limitations of current state of the art technologies in this field and suggest novel modifications and configurations to improve their suitability for application to a fed-batch fermentation system.
This paper presents a novel float-encoded genetic algorithm and
applies it to the optimal control of flexible smart structures bonded with
piezoelectric actuators and sensors. A performance function is initially
developed, based on the maximization of dissipation energy due to a control
action. Then, according to this characteristic, a float-encoded genetic
algorithm is presented which is capable of solving this optimization
problem reliably and efficiently. The optimization algorithm that is
developed for the control of flexible systems allows an integrated
determination of actuator and sensor locations and feedback gains. The
paper demonstrates the suitability of the proposed technique through its
application to three standard benchmark test functions and a collocated
cantilever beam.
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