scholarly journals An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Tat-Bao-Thien Nguyen ◽  
Teh-Lu Liao ◽  
Hang-Hong Kuo ◽  
Jun-Juh Yan
Keyword(s):  
Permanent Magnet ◽  
Neural Control ◽  
Controller Design ◽  
Estimation Error ◽  
Permanent Magnet Synchronous Motor ◽  
Parameter Tuning ◽  
Synchronous Motor ◽  
Unknown Parameters ◽  
Control Scheme ◽  
Fuzzy Neural

This paper proposes a new adaptive fuzzy neural control to suppress chaos and also to achieve the speed tracking control in a permanent magnet synchronous motor (PMSM) drive system with unknown parameters and uncertainties. The control scheme consists of fuzzy neural and compensatory controllers. The fuzzy neural controller with online parameter tuning is used to estimate the unknown nonlinear models and construct linearization feedback control law, while the compensatory controller is employed to attenuate the estimation error effects of the fuzzy neural network and ensure the robustness of the controlled system. Moreover, due to improvement in controller design, the singularity problem is surely avoided. Finally, numerical simulations are carried out to demonstrate that the proposed control scheme can successfully remove chaotic oscillations and allow the speed to follow the desired trajectory in a chaotic PMSM despite the existence of unknown models and uncertainties.

HYBRID MODIFIED ELMAN NN CONTROLLER DESIGN ON PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVEN ELECTRIC SCOOTER

2013 ◽  
Vol 37 (4) ◽  
pp. 1127-1145 ◽  
Author(s):  
Chih-Hong Lin ◽  
Chih-Peng Lin
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Controller Design ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Elman Neural Network ◽  
Adaptive Law ◽  
Control Scheme ◽  
Electric Scooter ◽  
Supervisor Control

The electric scooter driven by permanent magnet synchronous motor (PMSM) has nonlinear and time-varying characteristic. An accurate dynamic model is not easy to establish for electric scooter in the linear controller design. In order to conquer the above problem, a novel hybrid modified Elman neural network (NN) control scheme is proposed to control for electric scooter driven by PMSM. The proposed control system consists of a supervisor control, a modified Elman NN and a compensated control with adaptive law. Finally, the effectiveness of the proposed novel hybrid modified Elman NN control system is demonstrated in comparison with the PI controller from some experimental results.

scholarly journals Rotor Temperature Safety Prediction Method of PMSM for Electric Vehicle on Real-Time Energy Equivalence

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Anjian Zhou ◽  
Changhong Du ◽  
Zhiyuan Peng ◽  
Qianlei Peng ◽  
Datong Qin
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Electric Vehicle ◽  
Load Capacity ◽  
Estimation Error ◽  
Permanent Magnet Synchronous Motor ◽  
Prediction Method ◽  
Time Algorithm ◽  
Synchronous Motor ◽  
Thermal Safety

The load capacity of the permanent magnet synchronous motor is limited by the rotor temperature, and the excessive temperature of the rotor will bring potential thermal safety problems of the system. Therefore, the accurate prediction of the rotor temperature of the permanent magnet synchronous motor for the electric vehicle is crucial to improve the motor performance and system operation safety. This paper studied the heating mechanism and the energy flow path of the motor and built the heat energy conversion model of the stator and rotor. The real-time algorithm to predict the rotor temperature was constructed based on the dissipative energy conservation of the stator of the motor rotor temperature. And the prediction method of the initial rotor temperature is fitted using the experimental results when the system is powered on. Finally, the test platform was set up to validate the rotor temperature accuracy. The results show that the motor rotor temperature estimation error under the dynamic operating condition is within ±5. The research provides a solution to improve the performance and thermal safety of the permanent magnet synchronous motor for electric vehicles.

Sign in / Sign up

Export Citation Format

Share Document