Abstract
AbstractLinear PID algorithms commonly used in industry might perform insufficiently when controlling nonlinear operating systems. Solutions such as the fuzzy PID controller can exchange the linear PID controller because it develops a nonlinear control surface. The main advantage of the fuzzy PID controller is the ability to adjust to a controlled plant by the rule based modification, nonlinear membership function application and inference rule selection. However, the tuning process is one of the most difficult steps in the fuzzy PID controller designing and therefore discourages most practical applications.A simplification of the fuzzy PID controller tuning process is described in this article. The presented methodology allows fast transformation from a classic PID algorithm into a fuzzy PID algorithm. A proposed algorithm is tested on a programmable PLC which is a typical industrial implementation platform. A temperature stabilization is chosen as the controlled plant and some experimental results are then described. In conclusion authors suggest directions for similar real time fuzzy PID algorithm implementations.KeywordsRapid PrototypingControl SystemsFuzzy ControlPID AlgorithmEmbedded Input/Output Functions
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