Fuzzy Logic Intelligent Control System of Magnetic Bearings

Fuzzy-PID Control and its Stability Analysis of Large Time-Delay Nonlinear Systems

“…Its main feature is: nonlinear system is described by some IF-THEN fuzzy inference rules and every inference rule represents the dynamic of local linear model; then after connecting all local linear models with a membership function, an overall fuzzy dynamic model can be obtained, and the purpose of the modeling and control of nonlinear systems can be thus realized. Therefore, based on the T-S fuzzy model, the nonlinear system control design method and system performance analysis has been extensively studied and a series of achievements have been made in them [1][2][3][4][5]. Because actual control systems all have the problem of time delay, such as nuclear reaction process, chemical process, biological system, network communication system and so on, so in recent years the study of control design and stability analysis of T-S fuzzy time-delay systems has been receiving extensive attention from more and more domestic and foreign scholars.…”

Digital Control of Magnetic Levitation System using Fuzzy Logic Controller

“…Fuzzy rules are very easy to learn and can be implement, even by non-experts. It typically takes only a few rules to describe systems that may require several lines of conventional software codes, which reduce the design complexity [1,3,6]. Although PID control is a proficient technique for handling non-linear systems but modeling these systems is often troublesome and sometimes impossible using the laws of physics.…”