4 results about "MRAS" patented technology

The invention provides an MRAS permanent magnet synchronous motor parameter online identification method based on BP neural network optimization, and the method comprises the steps: constructing two BP neural network models, carrying out the offline training optimization of the two models, and obtaining an optimal neural network model which can accurately predict the flux linkage of a rotor and the inductance of a stator; based on an MRAS step-by-step identification strategy, two-stage motor parameter step-by-step identification units are built, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units, and based on the problem that the stator resistance identification effect of the BP neural network is poor, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units; according to the invention, the BP neural network and the adaptive rate unit are established in the second MRAS parameter identification unit, and the online dynamic identification of the stator resistance and the stator inductance is realized through the combination of the BP neural network and the adaptive rate unit. According to the method, an off-line training-on-line identification mode is adopted, the complex parameter setting process in a traditional method is avoided, the identification efficiency is remarkably improved, and the identification result is accurate.

The invention discloses a sensorless model prediction speed control method for a synchronous reluctance motor. The method comprises the following steps: firstly, establishing a mathematical model of the synchronous reluctance motor; then constructing a model reference adaptive system; an improved adaptive law combining mechanical and electromagnetic models is constructed; and deducing a linearization model, and performing linearization approximation on the IAL-MRAS error system containing a nonlinear feedback link near a working point to obtain the linearization model and a transfer function of the IAL-MRAS error system. And finally, establishing a prediction model to obtain a stator current prediction value and a flux linkage prediction value, and performing switching vector optimization through a cost function. By systematically improving the speed / position estimator, the dynamic performance of sensorless driving of the synchronous reluctance motor is improved.

SENSORLESS MOTOR SPEED ESTIMATION DEVICE USING Δ-MRAS WITH IMPEDANCE ANGLE REFERENCE

The application discloses a kind of winding segmentation linear permanent magnet synchronous motor's position sensorless control method, first according to the coupling relationship of two adjacent stator and rotor, establish double-section composite equivalent model;Then MRAS reference model and adjustable model are constructed based on composite equivalent model;Third, the LESO observer of the dq axis lumped disturbance formed by parameter drift, inverter nonlinear error and load disturbance is established;Further, the disturbance estimation value output by LESO is fed forward to the adjustable model of MRAS, and a composite equivalent model LESO-MRAS observer is formed;Finally, the speed and position estimation value output by the observer is used to realize closed-loop position sensorless control.The application can significantly weaken the influence of position-sensitive parameters on position sensorless control, improve the speed, position estimation accuracy and system disturbance robustness in the full stroke range, especially in the transition area between sections.