Download LabVIEW PID Control Toolkit User Manual
Transcript
Chapter 6 Design Methodology to as the continuity of a rule base. If neighboring rules have the same or similar conclusions, the rule base is said to be continuous. Within large rule bases it is possible to have multiple definitions of the same rule. This is called redundancy. It has no influence on the inference result at all if the Max-Min inference method is implemented. But there are other inference methods, which are not discussed in this manual, such as the Sum-Product method, in which multiple rules can effect the inference result. Operators, Inference Mechanism, and the Defuzzification Method In closed-loop control applications that use fuzzy logic, the standard common operators for the AND- and the OR-operation are the Min- and Max-operators discussed in the Using IF-THEN Rules in Fuzzy Inference section of Chapter 5, Overview of Fuzzy Logic. Within certain control applications in the field of process technology, however, it might be necessary to use a compensatory AND-operator rather than the pure AND. The most important compensatory AND-operator is the γ-operator, which is not discussed in detail here. The γ-operator allows a continuous tuning between AND, no compensation, and OR, full compensation. In real situations the word AND is sometimes used to combine two antecedences meaning as well as, indicating that you can compensate when you have a little less of one quantity. This is exactly what the γ-operator, also called the compensatory AND, can model. Refer to the Related Documentation section of this manual for a list of documents with more information about this topic. The standard inference mechanism is the Max-Min method. Other inference methods have only a marginal influence on the controller characteristic. The defuzzification method derives a crisp output value that best represents the linguistic result obtained from the fuzzy inference process. As explained in Chapter 4, Overview of Fuzzy Logic, there are generally two different linguistic meanings of the defuzzification process: calculating the best compromise, CoM or CoA, and calculating the most plausible result, MoM. PID Control Toolkit User Manual 6-8 ni.com