Predefined-Time Control of Full-Scale 4D Model of Permanent-Magnet Synchronous Motor with Deterministic Disturbances and Stochastic Noises

Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 306
Author(s):  
Nain de la Cruz ◽  
Michael Basin
Keyword(s):  
Permanent Magnet ◽  
Degrees Of Freedom ◽  
Initial Conditions ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Full Scale ◽  
Convergence Time ◽  
Control Law ◽  
Free System ◽  
Stochastic Noises

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.

Predefined-time stabilization of permanent-magnet synchronous motor

2021 ◽  
pp. 014233122110167
Author(s):  
Alison Garza-Alonso ◽  
Michael Basin ◽  
Pablo Rodriguez-Ramirez
Keyword(s):  
Permanent Magnet ◽  
Lipschitz Condition ◽  
Control Algorithm ◽  
Initial Conditions ◽  
A Priori ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Convergence Time ◽  
Continuous Control ◽  
Control Growth

This paper designs a predefined-time convergent continuous control algorithm to stabilize a permanent-magnet synchronous motor (PMSM) system. Three cases have been considered: disturbance-free, in presence of a deterministic disturbance satisfying a Lipschitz condition, and in presence of both a stochastic white noise and a deterministic disturbance satisfying a Lipschitz condition. The designed control law is free from the restrictions of exponential control growth and exact initial conditions knowledge. This is the first predefined-time convergent continuous control algorithm applied to stabilizing a PMSM system with both deterministic and stochastic disturbances, which enables one to a priori set the predefined convergence time even in presence of various disturbances of different nature. Numerical simulations are provided for a PMSM system to validate the obtained theoretical results in each of the three considered cases. The simulation results demonstrate that the employed values of the predefined-time convergent control inputs are applicable in practice.

Backstepping Control for a Five-Phase Permanent Magnet Synchronous Motor Drive

2015 ◽  
Vol 6 (4) ◽  
pp. 842 ◽  
Author(s):  
Anissa Hosseynia ◽  
Ramzi Trabelsi ◽  
Atif Iqbal ◽  
Med Faouzi Mimounia
Keyword(s):  
Permanent Magnet ◽  
Control Strategy ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Backstepping Control ◽  
Lyapunov Theory ◽  
Motor Drive ◽  
Control Law ◽  
Backstepping Controller ◽  
The Stability

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.

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
Keyword(s):  
Lyapunov Function ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Control Law ◽  
Nonlinear Controller ◽  
Control Lyapunov Function ◽  
Coordinate Conversion ◽  
New System

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.

The Complete Exact Linearization Control of PMSM Chaotic Motions

2012 ◽  
Vol 614-615 ◽  
pp. 1259-1265
Author(s):  
Jian Hua Liang ◽  
Xiao Cong Li ◽  
Chun Ying Lin ◽  
Ming Xiao ◽  
Ya Nan Zhao
Keyword(s):  
Differential Geometry ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Control Law ◽  
Exact Linearization ◽  
Chaotic Motions ◽  
Chaotic Control

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.

Position Tracking Control of Permanent Magnet Synchronous Motor Based on Fuzzy Sliding Mode Principle

2014 ◽  
Vol 1055 ◽  
pp. 328-333
Author(s):  
Ru Han Wen ◽  
Tao Lu ◽  
Fei Liu ◽  
Xiang Gao
Keyword(s):  
Permanent Magnet ◽  
Tracking Control ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Mode Switching ◽  
Control Law ◽  
System A ◽  
Fuzzy Sliding Mode ◽  
Position Tracking Control

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.

scholarly journals High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

2021 ◽  
Vol 23 (4) ◽  
pp. 301-310
Author(s):  
Imene Djelamda ◽  
Ilhem Bouchareb ◽  
Abdesselam Lebaroud
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicles ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Research Work ◽  
Synchronous Motor ◽  
Pi Controller ◽  
Control Law ◽  
Control Approach ◽  
Fuzzy Pi Controller

This work presents a field oriented control (FOC) strategy (Fuzzy Logic (FL)) associated with PI controller applied to the control system of an permanent magnet synchronous motor (PMSM) powered by an inverter dedicated to electric vehicles, the major challenge of our research work is a control law for a permanent magnet synchronous motor more efficient in terms of rejection of disturbances; stability and robustness with respect to parametric uncertainties, A comparison of the performance of the proposed FOC with the FOC with the fuzzy-PI will be presented. The overall development scheme is summarized and an example illustrates features of the control approach performed on a 0.5 kW PMSM drive. The torque and the speed will be judged and compared for the two orders offered. As results, the behavior of the FOC based on fuzzy-PI controller is more efficient compared to the conventional vector control.

Dynamic surface method–based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification

2018 ◽  
Vol 233 (9) ◽  
pp. 1172-1181 ◽  
Author(s):  
Xuejian Wang ◽  
Yong Chen ◽  
Youliang Lu ◽  
Xu Li ◽  
Wen He
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Dynamic Surface Control ◽  
Synchronous Motor ◽  
Backstepping Control ◽  
Control Law ◽  
Adaptive Backstepping ◽  
Load Torque ◽  
Dynamic Surface

Aiming at the problem of rotor inertia uncertainty and load torque disturbance of the permanent magnet synchronous motor control system, this article proposes an adaptive backstepping speed control strategy for the permanent magnet synchronous motor based on parameter identification. First, an online identification method of rotor inertia based on disturbance observer is designed. Furthermore, to solve the problem of the external load torque disturbance, combined with the identified rotor inertia, the load torque adaptive law and backstepping control law are designed according to Lyapunov’s stability theorem, in which the derivation of the virtual control law is calculated by dynamic surface control. Finally, simulation and experiment on MATLAB and dSPACE platform are accomplished to show the effectiveness of the proposed method.

scholarly journals High Resistance Fault-Detection and Fault-Tolerance for Asymmetrical Six-Phase Surface-Mounted AC Permanent Magnet Synchronous Motor Drives

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3089
Author(s):  
Claudio Rossi ◽  
Yasser Gritli ◽  
Alessio Pilati ◽  
Gabriele Rizzoli ◽  
Angelo Tani ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Fault Detection ◽  
Permanent Magnet ◽  
High Resistance ◽  
Degrees Of Freedom ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Industrial Applications ◽  
Permanent Magnet Synchronous Motors ◽  
Research Activities

In the last decade, the interest for higher reliability in several industrial applications has boosted the research activities in multiphase permanent magnet synchronous motors realized by multiple three-phase winding sets. In this study, a mathematical model of an asymmetric surface-mounted six-phase permanent magnet synchronous motor under high resistance connections was developed. By exploiting the intrinsic properties of multiphase machines in terms of degrees of freedom, an improved field-oriented control scheme is presented that allows online fault detection and a quite undisturbed operating condition of the machine under high resistance connections. More specifically, the proposed strategies for online fault-detection and fault-tolerance are based on the use of multi-reference frame current regulators. The feasibility of the proposed approach was theoretically analyzed, then confirmed by numerical simulations. In order to validate experimentally the proposed strategies, the entire control system was implemented using TMS-320F2812 based platform.

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