Method of Control Lyapunov Function for Permanent Magnet Synchronous Motor

2011 ◽  
Vol 403-408 ◽  
pp. 3186-3190
Author(s):  
Cheng Hua Fan ◽  
Xiao Zhang Cheng ◽  
Xian Wei Jiang

This paper presents a novel means of designing a nonlinear controller for Permanent Magnet Synchronous Motor (PMSM) based on the method of control Lyapunov function.The most important of it is to find out an appropriate Lyapunov function to design control law by coordinate conversion so that the new system can be globally asymptotically stable.Simulation results clearly show that the proposed controller has good dynamics performance despite disturbances are loaded.

Author(s):  
Anissa Hosseynia ◽  
Ramzi Trabelsi ◽  
Atif Iqbal ◽  
Med Faouzi Mimounia

This paper deals with the synthesis of a speed control strategy for a five-phase permanent magnet synchronous motor (PMSM) drive based on backstepping controller. The proposed control strategy considers the nonlinearities of the system in the control law. The stability of the backstepping control strategy is proved by the Lyapunov theory. Simulated results are provided to verify the feasibility of the backstepping control strategy.


2012 ◽  
Vol 614-615 ◽  
pp. 1259-1265
Author(s):  
Jian Hua Liang ◽  
Xiao Cong Li ◽  
Chun Ying Lin ◽  
Ming Xiao ◽  
Ya Nan Zhao

The permanent magnet synchronous motor take place under certain conditions chaotic phenomenon, according to the differential geometry theory, using the method of linear completely accurate, to design the control chaotic control law, and then through the experiments to verify its validity.


Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 306
Author(s):  
Nain de la Cruz ◽  
Michael Basin

This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises. The control law is consequently designed and verified by simulations for a full-scale 4-degrees-of-freedom (4D) permanent-magnet synchronous motor (PMSM) system in cases of a disturbance-free system with completely measurable states, a disturbance-free system with incompletely measurable states, a system with incompletely measurable states in the presence of deterministic disturbances, and a system with incompletely measurable states in the presence of both deterministic disturbances and stochastic noises. Numerical simulations are provided for the full-scale 4D PMSM system in order to validate the obtained theoretical results in each of the considered cases. To the best of our knowledge, this is the first attempt to design a predefined-time convergent control law for multi-dimensional systems with incompletely measurable states in the presence of both deterministic disturbances and stochastic noises.


2014 ◽  
Vol 1055 ◽  
pp. 328-333
Author(s):  
Ru Han Wen ◽  
Tao Lu ◽  
Fei Liu ◽  
Xiang Gao

Aiming at the anti-jamming capability problem of permanent magnet synchronous motor servo system, a fuzzy sliding mode controller is designed. The sliding mode control enhances the anti-jamming capability of the system, but it also brings chattering to the system which influences the control performance. In order to solve this problem, a fuzzy item is utilized to obtain the gain of sliding mode switching control law. Hence, the switching gain is adjusted in real time according to the sliding mode surface . The simulation results show that the system achieves good traceability and anti-jamming capability, the proposed controller has good performance and successfully solves the chattering problem.


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