Внесу свои 5 копеек.
Вот тезисы товарища BİLAL AKIN, на соискание DEGREE OF MASTER OF SCIENCE.
Аннотация
This thesis presents different state estimation techniques for speed sensorlees field oriented control of induction motors. The theoretical basis of each algorithm is explained in detail and its performance is tested with imulations and experiments individually.
First, a stochastical nonlinear state estimator, Extended Kalman Filter (EKF) is presented. The motor model designed for EKF application involves rotor speed, dq-axis rotor fluxes and dq-axis stator currents. Thus, using this observer the rotor speed and rotor fluxes are estimated simultaneously. Different from the widely accepted use of EKF, in which it is optimized for either steady-state or transient operations, here using adjustable noise level process algorithm the optimization of EKF has been done for both states; the steady-state and the transient-state of operations. Additionally, the measurement noise immunity of EKF is also investigated.
Second, Unscented Kalman Filter (UKF), which is an updated version of EKF, is proposed as a state estimator for speed sensorless field oriented control of induction motors. UKF state update computations, different from EKF, are derivative free and they do not involve costly calculation of Jacobian matrices. Moreover, variance of each state is not assumed Gaussian, therefore a more realistic approach is provided by UKF. In this work, the superiority of UKF is shown in the state estimation of induction motor.
Third, Model Reference Adaptive System is studied as a state estimator. Two different methods, back emf scheme and reactive power scheme, are applied to MRAS algorithm to estimate rotor speed.
Finally, a flux estimator and an open-loop speed estimator combination is employed to observe stator-rotor fluxes, rotor-flux angle and rotor speed. In flux estimator, voltage model is assisted by current model via a closed-loop to compensate voltage model’s disadvantages.
Keywords: Induction motor drive, sensorless field-oriented control, state estimation,
EKF, UKF, MRAS
На мой взгляд, весьма сильная, гармоничная работа, сочетающая теоретическую информацию с ее практической реализацией.
Если все, то не я...
Чайничкам на заметку, полезная монография
Jan 26 2009, 10:52
- возможно из-за того, что мне на данный момент это не нужно, но может кому то сейчас пригодиться. И возможно, что не только чайникам 
