The Application of Intelligent Technology on a Multi-Variable Dynamical System

Conventional control systems express control solutions by means of control expressions, usually mathematically based. To completely express the control solution, a vast amount of data is required. This is either difficult or virtually impossible to obtain. In contrast, knowledge-based solutions require far less plant data and mathematical expression. This reduces development time proportionately. A dynamical temperature control system is used in this project, within which a Fuzzy Logic Controller is used to maintain the system temperature. A Fuzzy Logic Control algorithm is implemented to test its performance in temperature control. An experimental analysis indicated that for approximately 50% decrease in flow rate, considering that the flow rate could not be increased to the desired value, owing to process problems, neither of the two temperature valves was subjected to oscillations. After approximately 30 s, the process temperature began to steady out. Mathematical reasoning would have increased the settling time tremendously.