TAILIEUCHUNG - Robustness of adaptive fuzzy for pmsm sensorless speed controller

This paper has presented an adaptive fuzzy controller for permanent magnet synchronous motor. A rotor speed estimation based on sliding mode observer. Space-vector pulse width modulation was used for slipping frequency vector control system. The simulation architecture of system was implemented on Modelsim and Matlab/Simulink. | Journal of Automation and Control Engineering Vol. 1, No. 3, September 2013 Robustness of Adaptive Fuzzy for PMSM Sensorless Speed Controller Nguyen Vu Quynh Electrical Department of Southern Taiwan University of Science and Technology, Tainan, Taiwan Email: vuquynh@ Ying-Shieh Kunga and Lam Thanh Hienb a Electrical Department of Southern Taiwan University of Science and Technology, Tainan, Taiwan b Computer Science Department of Lac Hong University, Dong Nai, Viet Nam Email: akung@, blthien70@ Abstract—This paper has presented an adaptive fuzzy controller for permanent magnet synchronous motor. A rotor speed estimation based on sliding mode observer. Space-vector pulse width modulation was used for slipping frequency vector control system. The simulation architecture of system was implemented on Modelsim and Matlab/Simulink. The algorithm controls have implemented by very high speed integrated circuit hardware description language and embedded to Simulink/Matlab for controlling. The simulation results shown that the motor’s speed has good performance and isn’t sensitive to the parameter variations. Controller integrated in an IC saves space and avoids the influence of external factors preferred as noise or temperature. Index Terms—fpga, adaptive fuzzy controller, vhdl, modelsim, simulink, sliding mode control, co-simulation I. INTRODUCTION To cope with many uncertainties, such as noise, external load, fiction force etc which affect to the performance quality of motor, many intelligent control techniques such as fuzzy, neural network, sliding mode observer (SMO), extended kalman filter have been developed. They helped to control exactly position of motor [1], [2] This paper follows a previously published paper [3], where the fuzzy and SMO algorithm have been studied and successfully simulated. This article applied new mechanism for adjusting the knowledge base of fuzzy controller (FC). The contents are organized as .

• Cơ khí - Chế tạo máy
• Journal of Automation and Control Engineering
• Robustness of adaptive fuzzy
• PMSM sensorless speed controller
• System was implemented
• Sliding mode control
• Increasing the productivity of automation tool by developing socket
• Automation tool by developing socket
• Auto report generated
• The automation tool
• Abnormality management in industrial automation systems
• Industrial automation systems
• Future industrial automation systems
• Abnormality management approach
• Sliding mode based relative pose synchronous control
• Space autonomous rendezvous
• Relative pose synchronous control
• The control system design
• The sliding mode control law
• Application of pressure control type quasiservo valve
• Force control system
• The quasi servo valve
• The pneumatic cylinder
• Robust vehicle suspension system
• Converting active & passive control
• A vehicle to semi active control system analytically
• Semi Active Vehicle System
• Environmental control of a greenhouse system
• NI embedded systems technology
• The soil moisture
• The Engineering School of Bahrain Polytechnic
• Design of control system for 3D printer
• DSP and FPGA
• Control system for 3D printer
• Closed loop control
• Improving performances of a cement rotary kiln
• A model predictive control solution
• Cement rotary kiln
• Advanced process control
• Model predictive control
• Active learning in motor control and matlab simulation
• Active learning in motor control
• Servo motors of the simulation of neural networks
• Motion of a robot arm
• Redundancy and operation of power control system
• A deep space small probe
• Functions of redundancy
• Power Control Unit
• Closed loop speed control of miniature brushless DC motors
• Closed loop speed control
• Miniature brushless DC motors
• Delta Connected BLDC motors
• Adaptive wavelet backstepping control
• Class of mimo underactuated systems
• Multi input multi output
• Proposed control scheme
• Adaptive backstepping controller
• Hybrid position force control for a stewart platform
• Hybrid position force control
• The work surface
• The stewart platform
• Robust control of double inverted pendulum system
• Double inverted pendulum system
• Reference trajectory control
• The dynamic modeling
• Speech recognition in human computer interactive control
• Computer interactive control
• HTK and Sphinx
• Vietnamese speech recognition
• Human computer interaction
• Command shaped robust control of a flexible spacecraft
• Command shaped robust control
• Strong cross couplings
• Loop shaping design
• Optimal control of vehicle active suspension system
• Vehicle active suspension system
• The active suspension system
• LQR control technique
• Mimo fuzzy control for autonomous mobile robot
• Mimo fuzzy control
• Autonomous mobile robot
• Implementation of multi input multi output
• Reach defined target
• Asynthesis method of robust cascade control system
• Robust cascade control system
• Imposes robust conditions
• Soft oscillation index
• Efficient adaptive fuzzy control scheme for industrial manipulators
• Degree of freedom
• Fuzzy control scheme
• IMO nonlinear second order systems
• Multilevel inverter topology and control techniques
• Reduce electromagnetic interference
• Control strategies employed
• Linear quadratic optimal control problem of stochastic switching systems
• Linear quadratic optimal control problem
• Stochastic switching systems
• Non invariant linear systems
• Investigation of hybrid adaptive control schemes
• Needle free jet injection system
• Hybrid adaptive control schemes
• Needle free jet injection
• Modelling and simulations
• Development of a new algorithm
• Control excitation of particular mode of a building
• Particular mode of a building
• Control of electric motor machine tools
• Self organizing fuzzy logic controller
• Modify the control rule
• The self organizing fuzzy logic controller