Tuning of Extended Kalman Filter using Improved Particle Swarm Optimization for Sensorless Control of Induction Motor ⋆
نویسندگان
چکیده
Extended Kalman filter (EKF) is widely used for speed estimation in sensorless vector control of induction motor. The major and unsolved issue in the practical implementation of the EKF is the choice of the process and measurement noise covariance matrices. In this paper, a speed estimation method using EKF optimized by improved particle swarm optimization (IPSO) is proposed. By combining the advantages of genetic algorithm and standard particle swarm optimization (PSO). The EKF noise covariance matrices are optimized by IPSO. Simulation studies on field-oriented control system under various operating conditions demonstrate that the speed estimation with IPSO-optimized EKF has better estimation accuracy compare to those obtained by genetic algorithm (GA) and standard PSO algorithm and differential evolution (DE) algorithm.
منابع مشابه
Tuning of Extended Kalman Filter using Self-adaptive Differential Evolution Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive
In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...
متن کاملSensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter
This article presents a sensorless five level DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine (DSIM). The application of the DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this control has some drawbacks such as the uncontrolled of the switching frequency and the strong ripple t...
متن کاملSensorless Vector Control of Linear Induction Motor on Primary and Secondary Flux Oriented based on Fuzzy PI Controller
This paper presents a sensorless system drive on primary flux oriented control (PFOC) and secondary flux oriented control (SFOC) for the linear induction motor (LIM) with taking into account end effect. Extended kalman filter (EKF) is applied to estimate LIM speed by measuring motor voltages and currents. In order to achieve desirable dynamic and robustness motor performance instead of traditio...
متن کاملTuning of Extended Kalman Filter for nonlinear State Estimation
Kalman Filter is the most popular method for state estimation when the system is linear. State estimation is the typical issue in every part of engineering and science. But, for non linear systems, different extensions of Kalman Filter are used. Extended Kalman Filter is famous to discard the non linearity which uses First order Taylor series expansion. But for these estimation techniques, the ...
متن کاملSpeed Sensorless Indirect Field Oriented Control of Induction Motor Using an Extended Kalman Filter
This paper presents the performance of the extended Kalman filter (EKF) for speed sensorless indirect field oriented control (IFOC) of a squirrel cage induction motor (IM) supplied by a pulse width modulated (PWM) voltage-source inverter. The rotor speed of the induction motor is estimated, according to this method, using the direct measurements of the stator voltages and currents without the s...
متن کامل