State-feedback decoupling control of 5-DOF magnetic bearings based on α-order inverse system

Mechatronics ◽  
2020 ◽  
Vol 68 ◽  
pp. 102358 ◽  
Author(s):  
Xin Cheng ◽  
Bai-xin Cheng ◽  
Shuai Deng ◽  
Rou-gang Zhou ◽  
Mei-qian Lu ◽  
...  
Keyword(s):  
State Feedback ◽  
Inverse System ◽  
Decoupling Control ◽  
Magnetic Bearings

Dynamic Decoupling Control of Electro-Spindle Supported by AC Hybrid Magnetic Bearings Based on Neural Network Inverse Method

2010 ◽  
Vol 97-101 ◽  
pp. 2716-2719 ◽  
Author(s):  
Wei Yu Zhang ◽  
Huang Qiu Zhu ◽  
Ze Bin Yang
Keyword(s):  
Neural Network ◽  
System Theory ◽  
Control Method ◽  
Coupled System ◽  
Original System ◽  
Rotor System ◽  
Inverse System ◽  
Decoupling Control ◽  
Magnetic Bearings ◽  
Dynamic Decoupling

A dynamic decoupling control method based on neural network inverse system theory is developed for the 5 degrees of freedom (5-DOF) rotor system. The rotor system suspended by AC hybrid magnetic bearings (HMBs) is a multivariable, nonlinear and strong coupled system. Firstly, the configuration of 5-DOF HMBs and the mathematical equations of suspension forces are set up. Secondly, it is demonstrated the system is reversible by analyzing mathematical model. On the basis, the neural network inverse system which is composed of the static neural networks and integrators, and original system are in series to constitute pseudo linear systems. Finally, linear system theory is applied to these linearization subsystems for designing close-loop controllers. The simulation results show that this kind of control strategy can realize dynamic decoupling control, and control system obtains good dynamic and static performances.

scholarly journals The Synthesis of State Feedback Decoupling Control Systems by Orthogonal Transformations

1985 ◽  
Vol 21 (12) ◽  
pp. 1275-1282
Author(s):  
Kenji HIRANUMA ◽  
Michio KONO ◽  
Takashi MORISHITA
Keyword(s):  
Control Systems ◽  
State Feedback ◽  
Decoupling Control
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