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Put forward a fuzzy control strategy of the magnetic suspension bearing's rotor, and combined with the operating principle of electromagnetic winding, achieve control of the rotor displacement through fuzzy self-tuning PID nonlinear real-time control. Improve the dynamic and static performance of nonlinear systems.
The active magnetic bearing AMB presents a solution for all technical problems since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show that the control of the AMB by Multilayer perceptrons MLP involves an improvement of the response compared to the control of the AMB by classical controllers. The...
Magnetic bearings can not only solve the bearing wear and life problems but also reduce the loss and noise of bearings. However, the strong non-linear and uncertainty of parameter of the magnetic bearings make the traditional PID controller difficult to ensure its long-term and stable operation. Based on the T-S fuzzy model, this paper presents a design method of magnetic bearing parallel-distributed...
Adaptive PID controller based on single neuron is designed in this paper. The controller can adjust the proportion, integral and differential of the conventional PID controller online, achieving the adaptive control for active magnetic bearing system supported by metal rubber annuluses. The results of experiments show that the single neuron adaptive controller is characterized by strong robustness,...
Mixed magnetic bearing system (MMBS) has a complex non-linear. Firstly, this paper analyzes MMBS according to the principle and a mathematical model is established. And then a sliding mode variable structure control (SMVSC) method is presented, which bases on non-linear system. Compared with the traditional PID control method, SMVSC has good stability and robustness. At the same time, it can rapidly...
This paper concerns a class of MIMO system disturbance attenuation and rejection problem for magnetic bearing system. The disturbance is formulated as a hierarchical one with two different parts. The first part is described by an exogenous model, while the second one is uncertain but bounded signal. In consideration of this, a new composite control scheme is presented, a nonlinear tracking differentiator...
The traditional PID control method is unable to meet the high dynamic and good performances to the active magnetic bearing systems. A fuzzy PID controller with immunity feedback mechanism from biology was proposed. Simulation results verify the advantages of this controller.
A bearingless permanent magnet synchronous motor (BPMSM) is a multi-variable, nonlinear and strong-coupled system. For closed-loop control, the decoupling control of radial forces is the key of stable suspension operation of the BPMSM. Based on basic electromagnetism theory, a radial force model of a BPMSM is given. The reversibility of the model is proved and an inverse system method is developed...
A innovative 5 degrees-of-freedom (DOF) bearingless permanent magnet synchronous motor (BPMSM) is a multi-variable, nonlinear and strong-coupled system. In order to achieve rotor suspension and operation steadily, it is necessary to realize dynamic decoupling control among torque and suspension forces. A decoupling control approach based on artificial neural networks(ANN) inverse system method has...
A magnetically levitated induction motor is a multivariable, nonlinear and strong coupling system. In order to achieve the rotor suspending and working steadily, it is necessary to realize dynamic decoupling control between torque force and radial suspension forces. In this paper, a method based on inverse system theory is used to study on decoupling control of magnetically levitated induction motors...
A magnetically levitated induction motor is a multivariable, nonlinear and strong coupling system. In order to achieve the rotor suspending and working steadily, it is necessary to realize dynamic decoupling control between torque force and radial suspension forces. In this paper, a method based on inverse system theory is used to study on decoupling control of magnetically levitated induction motors...
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