scholarly journals Design and Experimental Evaluation of a 12 kW Large Synchronous Reluctance Motor and Control System for Elevator Traction

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 34256-34264
Author(s):  
Jing-Can Li ◽  
Mao Xin ◽  
Zhen-Nan Fan ◽  
Ren Liu
Keyword(s):  
Control System ◽  
Experimental Evaluation ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
And Control

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Fuzzy Inverse Model

2014 ◽  
Vol 529 ◽  
pp. 524-528
Author(s):  
Zhang Li ◽  
Huang Qiu Zhu ◽  
Run Zhang Zeng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Inverse Model ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Control System

For the bearingless synchronous reluctance motor (BSRM) is a multivariable, strong coupling, multi-input and multi-output system, based on the adaptive inverse control theory, a decoupling control method based on the T-S fuzzy inverse model identification is put forward in this paper. According to the input and output information of the system, a fuzzy inverse model of the motor control system is established, then making the inverse model and the original control system in series forms pseudo linear hybrid system to realize the approximate linearization and dynamic decoupling of the motor control system. Building the composite system and proceeding research in the Matlab/Simulink environment, the simulation results show that the control strategy can realize dynamic decoupling among the electromagnetic torque subsystem and the radial suspension force subsystem and among thex- andy-direction of the suspension force, and with excellent static and dynamic performance and adaptive ability.

scholarly journals Dynamics of the line-start reluctance motor with rotor made of SMC material

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 833-838
Author(s):  
Krzysztof Smółka ◽  
Zbigniew Gmyrek
Keyword(s):  
Fractional Power ◽  
Electronic System ◽  
Control Algorithms ◽  
Electronic Systems ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
And Control ◽  
Motor Production ◽  
Initial Selection ◽  
Special Control

AbstractDesign and control of electric motors in such a way as to ensure the expected motor dynamics, are the problems studied for many years. Many researchers tried to solve this problem, for example by the design optimization or by the use of special control algorithms in electronic systems. In the case of low-power and fractional power motors, the manufacture cost of the final product is many times less than cost of electronic system powering them. The authors of this paper attempt to improve the dynamic of 120 W line-start synchronous reluctance motor, energized by 50 Hz mains (without any electronic systems). The authors seek a road enabling improvement of dynamics of the analyzed motor, by changing the shape and material of the rotor, in such a way to minimize the modification cost of the tools necessary for the motor production. After the initial selection, the analysis of four rotors having different tooth shapes, was conducted.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Sign in / Sign up

Export Citation Format

Share Document