حامد گرگین پور

Magnetic bearings are electromechanical tools that use magnetic force to suspend or rotate the rotor in airborne distances without physical contact. In this project, firstly, AMB systems are examined. In the following, the principles and principles of the design and construction of this system are explained in full. Since the AMB system is a mechatronic and dataset system unstable, etc., the dynamics of the rotor is rigid, and the vibrational motion equations of the AMB system and the intelligent body of the system are analyzed. System losses that cause system instability are expressed and solutions to reduce these losses are also described. Then, since the most important category for AMB systems is the stability and prediction of the position and position of the shaft, There are numerous methods used in the past. In this research, among the methods used, the control of the system using fuzzy control based on linear inequality matrices has been investigated. In the following, the control of the system is fully described using radial fuzzy control based on the neural network. The basis of the results of the system stability issue with the LMI is the proper response and the radial fuzzy control is also appropriate for predicting the rotor status and stability issue. This dissertation is presented to stabilize an active magnetic bearing (AMB) based on linear inequality matrices. In addition, the study is reported for both conventional and advanced controllers based on the system model. Based on this report, some of the practical and practical examples of AMB systems in the industry are described and described, AMB is widely used in jet engines, pumps, compressors, anchor systems, magneto trains and space systems Are used. Based on the study of AMBs, the design of the base of an AMB system consists of several electromagnets that surround a rotor. The AMB system is very linear and inherently volatile. Therefore, the use of an automatic control for system stability and th