Study on bifurcation analysis and Takagi–Sugeno fuzzy sampled‐data stabilization of permanent magnet synchronous motor systems

2021 ◽  
Author(s):  
R. Vadivel ◽  
Sabarathinam Srinivasan ◽  
Yongbao Wu ◽  
Nallappan Gunasekaran
Keyword(s):  
Permanent Magnet ◽  
Bifurcation Analysis ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Sampled Data ◽  
Motor Systems ◽  
Takagi Sugeno

Finite-time sampled-data control of permanent magnet synchronous motor systems

2016 ◽  
Vol 86 (3) ◽  
pp. 2081-2092 ◽  
Author(s):  
R. Sakthivel ◽  
Srimanta Santra ◽  
B. Kaviarasan ◽  
Ju H. Park
Keyword(s):  
Permanent Magnet ◽  
Finite Time ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Sampled Data ◽  
Motor Systems ◽  
Data Control ◽  
Sampled Data Control

Anti-Control Research on Permanent Magnet Synchronous Motor System

2011 ◽  
Vol 346 ◽  
pp. 166-171
Author(s):  
Yu Liang Liu ◽  
Juan Yi Liu ◽  
Guo Ping Liu
Keyword(s):  
Control Problem ◽  
Permanent Magnet ◽  
Chaos Synchronization ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Mixing Efficiency ◽  
Lyapunov Stability Theorem ◽  
Motor Systems ◽  
Control Research ◽  
Origin Point

Chaos behavior has many advantages in motor systems such as improving mixing efficiency and it involves with one kind of problem called chaos anti-control. This paper focused on chaos anti-control problem in permanent magnet synchronous motor (PMSM) systems through chaos synchronization. By synchronizing PMSM system with a typical chaotic system, the chaos anti-control problem was studied, where a controller was derived to make the error dynamical system converge at origin point O(0, 0, 0). The theory foundation in point is Lyapunov stability theorem, and the study conclusion was verified by numerical simulations.

scholarly journals Controlling Chaos in Permanent Magnet Synchronous Motor Control System via Fuzzy Guaranteed Cost Controller

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Yi-You Hou
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Lyapunov Stability Theory ◽  
Synchronous Motor ◽  
Linear Matrix ◽  
Control Of Chaos ◽  
Guaranteed Cost ◽  
Motor Control System ◽  
Takagi Sugeno ◽  
Method Approach

This paper investigates the guaranteed cost control of chaos problem in permanent magnet synchronous motor (PMSM) via Takagi-Sugeno (T-S) fuzzy method approach. Based on Lyapunov stability theory and linear matrix inequality (LMI) technique, a state feedback controller is proposed to stabilize the PMSM systems. An illustrative example is provided to verify the validity of the results developed in this paper.

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