To deal with the parameter uncertainties of induction motor in its control system,a neural network adaptive L2 robust control method is proposed based on backstepping,and the proposed controllers are combined with a rotor flux observer and the rotor flux estimation error is considered.
The simulation scheme of direct torque control based on a new stator flux observer with variable cutoff frequency is built in the Matlab6.5/Simulink,Its feasibility is verified by the simulation results.
Furthermore, a simulation model is built up based on MATLAB6.5/Simulink5.0 according to the mathematical model of asynchronous motor in α-β coordinate system and the control method of round flux linkage trace.
According to the nonlinear characteristic of Asynchronous Motor's dynamic mathematic model, three Fuzzy-Pi controllers are presented and designed to control the velocity, torque and flux linkage in the direct vector control system.
This paper introduces a data direct torque control system of AC motor based on TMS320LF2407A,and a new control scheme is designed,in which the traditional space voltage vector selector is replaced by an analytic fuzzy con-trol state selector,the adjustments of magnetic linkage and torque both adopt fuzzy control strategy and fuzzy control rules are generated in an analytic way.
In this paper, the following feno magnetic chain equation with periodic initial value problem is considered Z t=εZ xx +Z×Z xx +f(x,t,Z) fully disonete Fourior spectral schemes are proposed, the convergences and stabilities for the schemes are proved.
The possibility to create nonthermal solitions by switching on an inhomogeneous magnetic field along the direction of a one dimensional magnetic chain is investigated using the inverse scattering method.
Comparisons with the results of numerical simulations of the Heisenberg chain are made, and the possible relevance to magnetic chain materials such as CsNiF3 is discussed.
Thermally correlated frozen-in disorder in a linear magnetic chain
Statistical mechanics of a quasiperiodic one-dimensional magnetic chain
Separation of variables in the classical integrableSL(3) magnetic chain