Internal Model Control Schemes for PMSM Speed Regulation Using Fuzzy Adaptive System
نویسندگان
چکیده
منابع مشابه
Speed Control for PMSM Servo System Using Model Reference Adaptive Control and Extended State Observer
In this paper, the speed regulation problem for permanent synchronous motor (PMSM) system under vector control framework is studied. A model reference adaptive controller (MRAC) based on Lyapunov stability theory is first designed. Noticing the standard MRAC method provides a poor disturbance rejection performance in the case of strong disturbances, a composite control method which combines MRA...
متن کاملFuzzy Adaptive Controllers for Speed Control of PMSM Drive
The objective of the Fuzzy Adaptive Control (FAC) is to tune the scaling factors of the direct fuzzy logic controller (FLC). In this novel approach output scaling factor of Fuzzy controller is tuned through adaptation mechanism. The idea is to have a control system that will be able to achieve improvement in tracking set point change and rejection of load disturbance. In this paper, the propose...
متن کاملFuzzy Rule – Based Model Reference Adaptive Control for PMSM Drives
The objective of the model reference adaptive fuzzy control (MRAFC) is to change the rules definition in the direct fuzzy logic controller (FLC) and rule base table according to the comparison between the reference model output signal and system output. The MRAFC is composed by the fuzzy inverse model and a knowledge base modifier. Because of its improved algorithm, the MRAFC has fast learning ...
متن کاملFuzzy Adaptive Neural-Network Model-Following Speed Control for PMSM Drives
In this paper, a fuzzy adaptive neural-network model-following speed controller for permanent-magnet synchronous motor (PMSM) drives is proposed. The fuzzy neuralnetwork model-following controller (FNNMFC) consist of a proportional plus integral (PI) like-fuzzy controller in addition to an on-line trained neural-network model-following controller (NNMFC). This controller, FNNMFC, combines the m...
متن کاملSpeed Sensorless Control of PMSM using Model Reference Adaptive System and RBFN
In the speed sensorless vector control system, the amended method of estimating the rotor speed about model reference adaptive system (MRAS) based on radial basis function neural network (RBFN) for PMSM sensorless vector control system was presented. Based on the PI regulator, the radial basis function neural network which is more prominent learning efficiency and performance is combined with M...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
سال: 2014
ISSN: 2320-3765,2278-8875
DOI: 10.15662/ijareeie.2014.0312027