Research On Two Types Of Control Algorithms For Induction Motor Speed Sensorless

In developing countries,most of the electricity is applied to induction motors.It is the most critical production of the highest energy supply equipment,in the industrial production as the general position of the spine.Therefore,it is imperative for the research of induction motor,induction motor control is directly related to the future development of future induction motor.At present,the research focus of induction motor is mainly focused on the control of speed sensorless.Because the induction motor structure is simple and easy to maintain,so once fully put into use,the advantage will greatly exceed the DC motor,and will be completely replaced.But the main problem is that the induction motor is a multivariable nonlinear system,control is not as convenient as the DC motor,good control means will be crucial.This dissertation has carried out in-depth research and discussion.Firstly,the multivariable structure of induction motor is studied.The transformation model under different coordinate systems is given,and space vector transformation is proposed.For the integration of specific algorithms behind the specific structure of bedding.And then gives the principle of vector control and direct torque control principle.This is the most classic two control methods of induction motor control.The two kinds of control methods are studied in detail,and the formula derivation and structure model are given.On the basis of two classical models,a method of controlling filtering is proposed:Kalman filter.It is an estimate of the filtering method,and a brief overview of the Kalman filter development process.Which leads to the Unscented Kalman Filter Control,and its problems,and with these problems,to optimize the transformation.Next,the strategy of Cubage Kalman Filter Control is proposed.The same is done for the optimization of the two problems,and then the proposed algorithm is validated on the Matlab/Simulink simulation platform,and the error comparison analysis.Finally,the neural network algorithm in artificial intelligence algorithm is proposed.The artificial neural network algorithm is combined with direct torque control and vector control.And the method of estimating the speed of the artificial neural network is put forward.And then use this method to build in the simulation platform based on artificial neural network induction motor speed sensorless vector control model.The error between the estimated value and the actual simulation value is analyzed and the reasonable range of the error is verified.