Year: 2024
Type: article
Abstract: Position control is required in many industrial applications. In this paper, several control methods; namely servo, fuzzy logic and neuro-fuzzy position controls implemented in ST52 microcontroller and laboratory test results of these methods are introduced. Fuzzystudio3.0 and Adaptive Fuzzy Modeller software packages have been used for the program development. The response of designed control systems to any desired position changes is measured, and the performance and speed for fuzzy, neuro-fuzzy and servo controllers in setting a desired position are examined. The designed software and installation steps are described and structure and listings of the control programs are presented.
Institution: Inonu University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405813386