Computational Intelligence - Case Tool to Implement in Embedded Control Systems

K.-D. Kramer, S. Patzwahl, and T. Nacke (Germany)


Comptational Intelligence, Neural Networks, Fuzzy Logic, Embedded Systems, Process Control, Biogas Fermentation


This paper describes the possibilities of realizing embedded process control systems (PCS) through the use of computational intelligence (CI) methods. The developed and expanded design process for the realization of micro-controller (µC) and/or digital signal processor (DSP) based process control systems, takes advantage of the fact that these processors are highly robust, highly reliable, and low in costs. For this, the direct integration of the process plays a significant role in creating a uniform design by using the hardware’s on-chip peripherals as the process interface, and by including certain data conditioning techniques such as feature formation. Furthermore, a self-developed computer aided software engineering (CASE) tool, EmCoSoft (embedded control by softcomputing), was created, which forms the complete instrumentation for PC-based design, and allows for the realization of the process control system on the hardware platform containing the µC/DSP (embedded control). With EmCoSoft the uniformity and transparence of the expanded design process for application-oriented users is achieved. In compliance with its high significance for automation, a series of CI methods are implemented in the software, leading to a relatively universal frame work.

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