Comparative analysis of two-mass systems using proportional integral and fuzzy logic controller / Nur Fathin Yaacob

• Main Author: Yaacob, Nur Fathin
• Format: Thesis
• Language: English
• Published: 2018
• Subjects: Expert systems (Computer science). Fuzzy expert systems; Fuzzy logic
• Online Access: https://ir.uitm.edu.my/id/eprint/102661/1/102661.pdf; https://ir.uitm.edu.my/id/eprint/102661/

Industrial drive system is mainly used in manufacturing, industrial automation and material handling. The increasing demand for a better quality and better performance of two mass drive systems causes industry to produce high dynamics properties and to reduce the vibration effectively. The proposed work in this paper proposed Proportional-integral controller and Fuzzy Logic controller as the alternate method to reduce the vibration. Methods that had been suggested in reduce the vibration by using a controller. This research presents Proportional Integral controller using an analytical equation to get the damping coefficient of the drive system was explored in this project. While fuzzy logic in application control in embedded control and information processing is using an analytical method. Moreover, the performance between the responses of proportional-integral controller and fuzzy logic has been examined using MATLAB. Due to simulation result, fuzzy logic has a high accuracy due to suppression of vibration in the tracking system. Its shows that fuzzy logic controller is the best performance better than proportional integral controller.