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.

Decoupling Control of the Gas Collectors’ Pressure System Based on Neural Network Inverse System

2014 ◽  
Vol 530-531 ◽  
pp. 985-989
Author(s):  
Fan Wei Meng ◽  
Qing Tian ◽  
Bin Xu
Keyword(s):  
Neural Network ◽  
Composite System ◽  
Nonlinear Approximation ◽  
Original System ◽  
Inverse System ◽  
Decoupling Control ◽  
Pressure System ◽  
Approximate Inverse ◽  
The Neural Network ◽  
The Mathematical Model

For collectors’ pressure system strong interference, coupled, nonlinear, multi-parameter and other characteristics, based on the inverse system decoupling principle, the reversibility of the mathematical model of the gas collectors’ pressure system is analyzed. BP neural network which has strong nonlinear approximation ability is applied, to approximate inverse system of gas collectors’ pressure system. Neural network inverse system with the original system composes of the pseudo linear decoupling composite system. The neural network inverse decoupling control of gas collectors’ pressure system is implemented. The simulation results show that this method realizes decoupling, has a certain application.

Decoupling Control of the Gas Collectors' Pressure System Based on Neural Network Inverse System

2013 ◽  
Vol 457-458 ◽  
pp. 888-892
Author(s):  
Qing Tian ◽  
Jie Sun
Keyword(s):  
Neural Network ◽  
Composite System ◽  
Nonlinear Approximation ◽  
Original System ◽  
Inverse System ◽  
Decoupling Control ◽  
Pressure System ◽  
Approximate Inverse ◽  
The Neural Network ◽  
The Mathematical Model

For collectors pressure system strong interference, coupled, nonlinear, multi-parameter and other characteristics, based on the inverse system decoupling principle, the reversibility of the mathematical model of the gas collectors pressure system is analyzed. BP neural network which has strong nonlinear approximation ability is applied, to approximate inverse system of gas collectors pressure system. Neural network inverse system with the original system composes of the pseudo linear decoupling composite system. The neural network inverse decoupling control of gas collectors pressure system is implemented. The simulation results show that this method realizes decoupling, has a certain application.

Decoupling Control of Three Degrees of Freedom Hybrid Magnetic Bearing Based on LS-SVM

2014 ◽  
Vol 529 ◽  
pp. 534-538
Author(s):  
Yuan Yuan Li ◽  
Huang Qiu Zhu
Keyword(s):  
Degrees Of Freedom ◽  
Control Method ◽  
Hybrid Control ◽  
Original System ◽  
Magnetic Bearing ◽  
Inverse System ◽  
Least Square ◽  
Decoupling Control ◽  
Support Vector ◽  
Three Degrees Of Freedom

In the paper, the decoupling control method based on least square support vector machine (LS-SVM) inverse system is proposed, and adopting the method realizes decoupling control of an AC-DC three degrees of freedom hybrid magnetic bearing (AC-DC-3DOF-HMB). Aimed at the complicated multivariate nonlinear, strong coupling system of the AC-DC-3DOF-HMB, the reversibility of original system was analyzed, by the ability of least square support vector machines (LS-SVM) in universal approximation and identification fitting to get inverse model of AC-DC three degrees of freedom hybrid magnetic bearing. Then according to the basic principle of inverse system method, the inverse system was connected with the original system. So the complex nonlinear multivariable system is decoupled into three independent pseudo-linear system. The simulation results show that the system was decoupled; the hybrid control method has good dynamic and static performance, verify the feasibility of the proposed control method.

scholarly journals A Decoupling Control Method for Shunt Hybrid Active Power Filter Based on Generalized Inverse System

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Xin Li ◽  
Bo Li
Keyword(s):  
Generalized Inverse ◽  
Control Method ◽  
Active Power Filter ◽  
Original System ◽  
Active Power ◽  
Inverse System ◽  
Decoupling Control ◽  
Power Filter ◽  
Hybrid Active Power Filter ◽  
In Series

In this paper, a novel decoupling control method based on generalized inverse system is presented to solve the problem of SHAPF (Shunt Hybrid Active Power Filter) possessing the characteristics of 2-input-2-output nonlinearity and strong coupling. Based on the analysis of operation principle, the mathematical model of SHAPF is firstly built, which is verified to be invertible using interactor algorithm; then the generalized inverse system of SHAPF is obtained to connect in series with the original system so that the composite system is decoupled under the generalized inverse system theory. The PI additional controller is finally designed to control the decoupled 1-order pseudolinear system to make it possible to adjust the performance of the subsystem. The simulation results demonstrated by MATLAB show that the presented generalized inverse system strategy can realise the dynamic decoupling of SHAPF. And the control system has fine dynamic and static performance.

Decoupling Control of Dynamic Emulation for Transmission Test Rig

2012 ◽  
Vol 241-244 ◽  
pp. 1195-1200
Author(s):  
Wen Li Li ◽  
Jian Ke ◽  
Bin Deng ◽  
Xiao Hui Shi ◽  
Xi Hong Zou ◽  
...  
Keyword(s):  
Control Method ◽  
Electromagnetic Coupling ◽  
Coupled System ◽  
Original System ◽  
Mathematic Model ◽  
Decoupling Control ◽  
Load Torque ◽  
Mechanical Coupling ◽  
Dynamic Emulation ◽  
Transmission Test

The influence of electromagnetic coupling and mechanical coupling on control property in dynamic emulation system is analyzed. the coupled system is a dual-input dual-output system.The load torque changes will cause the variation of speed in the system and the speed changes also affect the variation of load torque. The mathematic model of the system based on decoupling control are given. The compensation module can be installed to the system in order to make subsystems almost independent of each other. Simulation and comparison is taken by MATLAB / Simulink software between decoupled system and original system. Result shows that the coupling control method can improve the precision of the control system and fasten response.

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
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