Simulator for studies of fuzzy control methods

✍ Scribed by Kenichiro Hayashi; Akifumi Otsubo

• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 451 KB
• Volume: 93
• Category: Article
• ISSN: 0165-0114
• DOI: 10.1016/s0165-0114(96)00196-0

✦ Synopsis

Fuzzy control is of great use in many engineering fields. However, the present design methods of fuzzy control systems depend on trial and error, which limits their usefulness. Therefore, effective and convenient support tools for the study and design of fuzzy control systems are in great demand as well as the establishment of design methods. We have developed a fuzzy control simulator which can implement various fuzzy control methods such as the "direct inference method", "indirect inference method" and "fuzzy-PID hybrid method". This paper deals in particular with the function of the "direct inference method" in the simulator. The simulator can implement many kinds of fuzzy inference methods. Using the evaluating functions of the simulator, control performance can be evaluated in real-time or after simulation. Therefore, we can execute the time-consuming and troublesome tasks of tuning fuzzy control parameters efficiently, so that we can design a fuzzy controller suited to a given controlled system.