Design and Analysis of ANFIS Controller for High Accuracy Magnetic Levitation (ML) System
Rokan Ali Ahmed, Yousif Al Mashhadany
Abstract
Magnetic Levitation (ML) System is a significant particular research center model for the planning and examination of criticism control frameworks. Due to the usual sensitivity of mass, a solid choppiness powers here between magnets, and also due to the effects of commotion spilling out of the sensor and information channels, the superiority of attractive lift frameworks is dangerous. Thereafter, the design of a control framework for height is a complex issue that must be considered when developing models that are not 100% exact. Elite is the goal, all else being equal, of being better, faster, or much more productive over others. In this paper, a plan is made for an Adaptive Network-Based Fuzzy Inference System (ANFIS) regulator to get the MLS of a stable region by suspending a ball in mid-air in the sight of potential vulnerabilities, controller with a (PID). The main objective is to achieve perfect behavior through improving regulators' incentives. Reenactments have been conducted using MATLAB Version 2019b, and the positive results obtained demonstrate that the planned control unit meets the elite versus vulnerability in the model and allows exceptionally precise positioning of the raised article