scholarly journals Discrete Terminal Super-Twisting Current Control of a Six-Phase Induction Motor

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1339
Author(s):  
Yassine Kali ◽  
Maarouf Saad ◽  
Jesus Doval-Gandoy ◽  
Jorge Rodas
Keyword(s):  
Steady State ◽  
Induction Motor ◽  
Discrete Time ◽  
Electrical Parameter ◽  
Estimation Method ◽  
Design Procedure ◽  
Time Delay Estimation ◽  
Current Control ◽  
Lyapunov Theory ◽  
Error Dynamics

In this manuscript, the high-accuracy stator currents tracking issue is considered for a six-phase induction motor subject to external perturbations and uncertainties due to unmeasurable rotor currents and electrical parameter variations. To achieve the control goals, the common two-cascade controllers structure is required for this type of motor. The first controller in the outer loop consists of a proportional integral to regulate the speed. Then, the second is the proposed inner nonlinear stator currents controller based on a robust discrete-time terminal super-twisting algorithm supported by the time-delay estimation method. For the design procedure, the discrete-time stator currents dynamics are derived; for example, the vector of the matched perturbations and unmeasurable rotor currents are specified to simplify the estimation. A detailed stability analysis of the closed-loop error dynamics using Lyapunov theory is given. Finally, a real asymmetrical six-phase induction motor is used to implement in real-time the developed method and to illustrate its effectiveness and robustness. The results obtained reveal a satisfactory stator currents tracking in steady state and transient conditions and under variation in the magnetizing inductance. Moreover, a comparative study with an existing method in steady state for two different rotor speeds is presented to show the superiority of the proposed discrete-time technique.

Time Delay Estimation Based Discrete-Time Super-Twisting Current Control for a Six-Phase Induction Motor

2020 ◽  
Vol 35 (11) ◽  
pp. 12570-12580
Author(s):  
Yassine Kali ◽  
Magno Ayala ◽  
Jorge Rodas ◽  
Maarouf Saad ◽  
Jesus Doval-Gandoy ◽  
...  
Keyword(s):  
Time Delay ◽  
Induction Motor ◽  
Discrete Time ◽  
Time Delay Estimation ◽  
Current Control ◽  
Delay Estimation

scholarly journals Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 170 ◽  
Author(s):  
Yassine Kali ◽  
Magno Ayala ◽  
Jorge Rodas ◽  
Maarouf Saad ◽  
Jesus Doval-Gandoy ◽  
...  
Keyword(s):  
Time Delay ◽  
Induction Motor ◽  
Discrete Time ◽  
Sliding Mode ◽  
Estimation Error ◽  
Time Delay Estimation ◽  
Current Control ◽  
Delay Estimation ◽  
Motor Drive ◽  
Induction Motor Drive

This paper proposes a robust nonlinear current controller that deals with the problem of the stator current control of a six-phase induction motor drive. The current control is performed by using a state-space representation of the system, explicitly considering the unmeasurable states, uncertainties and external disturbances. To estimate these latter effectively, a time delay estimation technique is used. The proposed control architecture consists of inner and outer loops. The inner current control loop is based on a robust discrete-time sliding mode controller combined with a time delay estimation method. As said before, the objective of the time delay estimation is to reconstruct the unmeasurable states and uncertainties, while the sliding mode aims is to suppress the estimation error, to ensure robustness and finite-time convergence of the stator currents to their desired references. The outer loop is based on a proportional-integral controller to control the speed. The stability of the current closed-loop system is proven by establishing sufficient conditions on the switching gains. Experimental work has been conducted to verify the performance and the effectiveness of the proposed robust control scheme for a six-phase induction motor drive. The results obtained have shown that the proposed method allows good performances in terms of current tracking, in their corresponding planes.

Real-time nonlinear speed control of an induction motor based on a new advanced integral backstepping approach

2019 ◽  
Vol 42 (2) ◽  
pp. 244-258 ◽  
Author(s):  
Bilel Aichi ◽  
Mohamed Bourahla ◽  
Khedidja Kendouci ◽  
Benyounes Mazari
Keyword(s):  
Real Time ◽  
Induction Motor ◽  
High Performance ◽  
Control Method ◽  
Current Control ◽  
Lyapunov Theory ◽  
External Disturbances ◽  
Low Speed ◽  
Backstepping Approach ◽  
Time Motor

This work proposes a robust control scheme of a three-phase induction motor using a new Backstepping approach based on variable gains. Because of the saturation blocks that are essential to protect the control system, the use of conventional integral Backstepping could lead to a modest performance represented by overshooting and strong vibrations in transitional regimes that cause overcurrent. To develop an efficient and simple control algorithm, the variable gains propriety is used in the speed controller to offer a quick response without overshooting with good robustness against external disturbances. The same property has been introduced in current regulation by a different mean in order to develop a new solution to solve obstacles related to very low-speed operations. The asymptotic stability of the global control is proven by Lyapunov theory. The improvement of the new version compared with the classical one was verified by a brief comparative study based on simulation results. The proposed algorithm has been implemented in a dSPACE DS 1104 card, to analyze the real-time motor performance, and to test control sensitivity against parametric variations. The obtained results show a remarkable improvement of the new control concerning rapidity and stability of transient regimes, overtaking elimination and reduction of starting current, with a low algorithm sensitivity against parametric variations. We have also been able to confirm that the new current control method can guarantee optimal regulation in order to achieve a high-performance operation at very low-speed zones, in the presence of various internal and external disturbances.

scholarly journals Current Prediction-Based Three-Vector Voltage Optimization System for the Induction Motor with Current Static Error Correction

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Haixia ◽  
Lin Jican
Keyword(s):  
Steady State ◽  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Tracking Error ◽  
Current Control ◽  
Static Error ◽  
Control Stability ◽  
Steady State Performance

In the present study, the current control method of the model predictive control is applied to the field-oriented control induction motor. The augmentation model of the motor is initially established based on the stator current equation, which performs the current predictive control and formulates the new cost function by means of tracking error. Then, the influence of parameter error on the current control stability in the prediction model is analysed, and the current static error is corrected according to the correlation between the input and feedback. Finally, a simple and effective three-vector control strategy is proposed. Moreover, three adjacent basic voltage vectors are utilized, and then six candidate voltage vectors are synthesized in each sector to replace eight basic voltage vectors in the conventional model predictive control (MPC). The obtained results show that synthesized vectors, which have arbitrary amplitude and direction, significantly expand the coverage of the system’s control set, reduce the torque and flux pulsation in the conventional MPC, and improve the steady-state performance of the system. Finally, the dSPACE platform is employed to validate the performed experiment. It is concluded that the proposed method can reduce the torque and flux pulse, perform the induction motor current control, and improve the steady-state performance of the system.

scholarly journals A discrete time domain approach on time delay estimation

ACTA IMEKO ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 77
Author(s):  
Jorma Kekalainen
Keyword(s):  
Time Delay ◽  
Discrete Time ◽  
Time Domain ◽  
Estimation Method ◽  
Extreme Value ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Criterion Function ◽  
Delay Distribution ◽  
Criterion Functions

A time delay estimation method based on the discrete time domain approach is introduced here. In this dual-channel time delay estimation model, the criterion function compares the time differences of time sequences between channels, not the magnitude values of time functions as in the conventional cross-correlation method. An estimation task is formulated as an extreme value problem in discrete index space. Using the index delay giving extreme value to the criterion function, it is possible to find the best estimate for time delay distribution in the meaning of that criterion. Using this method, the estimated delay distribution and criterion function are clearly separated. Thus, there are no theoretical problems in the determination of the average time delay or velocity in the non-constant or changing time delay case as long as a sufficient statistical similarity (correlation) exists between channel signals. <p class="Abstract">The theoretical values of several criterion functions and the probability of occurrence of an anomalous estimate with the cross-covariance criterion function are derived. A basic performance analysis of the estimation method is presented. Some potential real-time supervision methods based on the use of criterion functions in the detection of the possible unreliability of the time delay estimate are outlined.</p>

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