Fuzzy control in process automation†

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Abstract
Fuzzy logic provides an extremely practical method of incorporating empirical process knowledge and linguistically formulated control strategies appropriately into process automation applications. This potential makes fuzzy logic controllers attractive for a wide range of industrial processes. In view of its significant appeal, the obvious way of implementing practical fuzzy control solutions quickly and successfully is by integrating the fuzzy functions into existing systems and providing software tools for support. A universal fuzzy function block concept is introduced which gives process control systems comfortable access to the world of fuzzy logic. The three new function blocks FUZ, RULE and DFUZ enable fuzzy logic to be integrated into existing system environments flexibly and with a high degree of acceptance. Combined with the fuzzy tool SIFLOC TM, these software blocks form a powerful enhancement to conventional control systems for a large number of tasks that have hitherto evaded satisfactory solution. Pilot installations in a variety of process engineering applications have already proved, with impressive results, that fuzzy logic considerably enhances the quality and functionality of a PLC/process control system.

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