The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This work addresses the analysis and the design of an adaptive fuzzy sliding-mode observer applied to vector control of an induction motor. The conception steps for the conventional sliding-mode speed observer (SMO) are laid down clearly. In this work, the drawbacks of SMO in terms of high observer gains and chattering phenomenon due of switching surface are overcome by merging of fuzzy logic with...
This paper presents system analysis, modeling and simulation of an electric vehicle with different sensorless control techniques. Indeed, sensorless control is considered to be a lower cost alternative than the position or speed encoder-based control of induction motors for an electric vehicle. Two popular sensorless control methods, namely, the Luenberger observer and the Kalman filter methods are...
The design method of adaptive rotor flux observer gain to improve stability at low speed and regenerating mode was proposed in [1]. The method is based on the stability analysis. The stability analysis utilizes the linearized model considering all systems including each control loop. Therefore the proposed method considers the effects of motor constants and control circuit constants. The stability...
A novel high performance intelligent controller for precise speed control of Induction Motor (IM) based on supervisory loop principle is proposed. The scheme consists of online growing Radial Basis Neural Network (RBFNN) controllers working in parallel with an implicit model adaptive controller based on system supervision. The proposed intelligent supervisory loop control architecture monitors system...
This paper presents the real-time performance evaluation of a nonlinear controller for speed control of an induction motor (IM) drive. Neglecting the iron loss in an induction motor model causes performance deterioration. In this work, an adaptive backstepping based nonlinear controller incorporating the iron loss is developed under the parameter uncertainties. The adaptive backstepping technique...
In order to improve the reliability and adaptability of control system induction motor, a speed sensorless vector control system for induction motor based on DSP (TMS320F240) is presented. Combined with a rotor flux and speed observer based on a PI model reference adaptive system (MRAS), a speed sensorless field-oriented control (FOC) system for induction motors is introduced. The motor speed is estimated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.