Full Predictive Cascaded Speed and Current Control of an Induction Machine

Garcia, Cristian; Rodríguez, José; Silva, César; Rojas, Christian A.; Zanchetta, Pericle; Abu‐Rub, Haitham

doi:10.1109/tec.2016.2559940

Cited by 69 publications

(34 citation statements)

References 28 publications

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“…The references of stator currents are obtained according to Fig.7. The control cycle is 10 −4 s, and the execution time of the code is 8 × 10 −5 s. Model predictive current control of induction machine is implemented [28]. The diagram of induction machine control system is shown in Fig.6.…”

Section: Experimental Evaluationmentioning

confidence: 99%

Analysis and Implementation of Constrained MTPA Criterion for Induction Machine Drives

Peng

2020

IEEE Access

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Maximum torque per amper (MTPA) control can realize the minimum copper loss control of induction motor, which is often applied below the rated speed. In this paper, MTPA control is firstly extended from the constant torque mode to the constant apparent power mode and the constant voltage mode, and realizes MTPA control of induction motor in the whole speed range. Firstly, this paper establishes a MTPA-based nonlinear optimization problem in the whole speed range. Then, this optimization problem is analyzed and the analytical expressions are obtained for three different modes. Finally, finite control set-model predictive current control is adopted in this paper to achieve the fast stator current tracking. In the experimental part, the proposed algorithm is compared with the classical control strategy in this paper. The experimental results show that for the light load, the proposed algorithm reduces the stator current magnitude and improves the efficiency of induction machines.

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Section: Experimental Evaluationmentioning

confidence: 99%

Analysis and Implementation of Constrained MTPA Criterion for Induction Machine Drives

Peng

2020

IEEE Access

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“…A high-performance servo application must have fast dynamic response, preferably without overshoot, and high steady-state accuracy. Recently, full predictive controls of speed and current of motor drives have been reported [19][20][21][22][23]. In Reference [21], a new speed control strategy for the two-mass system based on the model predictive control scheme is presented.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference [22], a control strategy based on finite-set model predictive control for the speed control of the PMSM is developed. In Reference [23], a cascaded predictive speed and current control is proposed based on the explicit inversion of the mechanical model. In References [21][22][23], these methods have some advantages, such as fast transient response and simple implementation.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference [23], a cascaded predictive speed and current control is proposed based on the explicit inversion of the mechanical model. In References [21][22][23], these methods have some advantages, such as fast transient response and simple implementation. In addition, the sensitive to system parameters and the permanent magnet demagnetization would lead to inaccurate prediction of the motor behavior.…”

Section: Introductionmentioning

confidence: 99%

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Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives

Luo

et al. 2018

Energies

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This paper presents a cascaded robust fault-tolerant predictive control (CRFTPC) strategy with integral terminal sliding mode observer (IT-SMO) to achieve high performance speed loop and current loop for permanent magnet synchronous motor (PMSM) drives. The modeling of PMSM considers the disturbance caused by parameter perturbation and permanent magnet demagnetization. With this model, we can derive the optimal control law of the proposed scheme, which avoids the tuning work of the weight factor effectively. This new CRFTPC strategy has a cascaded structure, external loop and internal loop, both implemented with robust fault-tolerant predictive control. In addition, a new integral terminal sliding mode observer is designed to estimate the disturbances, and thus the robustness of the proposed method can be increased significantly. Comparative simulations and experimentations verify that the proposed CRFTPC provides fast dynamic response, static-errorless speed, and current tracking, even with the system disturbance.

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“…However, this method has limitations of desired initial gains, is time‐consuming and may lead to unpredictable behavior. Apart from the PI based speed‐loop controller, several other linear and nonlinear control schemes have been proposed in . Although the nonlinear ones yield high performance they may, however, induce complexity in implementation.…”

Section: Introductionmentioning

confidence: 99%

Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor

Jain

Ghosh

Maity

2018

Asian Journal of Control

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In this work, a concurrent proportional integral (PI) controller design technique is addressed for indirect vector controlled induction motor (IVCIM). For this, a full-order induction motor (IM) model is employed that includes the stator current dynamics. The current-loop proportional integral (PI) controllers are tuned to use the attributes of such dynamics. The robustness against load torque and rotor resistance variations are incorporated in the design problem. This method is implemented using a static output feedback scheme in which iterative linear matrix inequality (ILMI) based H ∞ control technique is applied. The simulation and experimental comparison with existing designs show the superiority of proposed method and practical interest for industry use.was a postdoctoral fellow at University of Cape Town, South Africa. His research interests are in the areas of wide-area control of power system, decentralized control, networked control and time-delay systems.Somnath Maity (M'11) received the M.Tech degree from the Indian Institute of Technology, Madras, India, in 2003 and the Ph.D. degree from the Indian Institute of Technology, Kharagpur, India, in 2009. He is currently an Associate Professor in the Department of Electrical Engineering, National Institute of Technology, Rourkela, India. His research interest include nonlinear dynamics of power electronic circuits and systems, modeling and analysis of complex engineered systems such as smart grids, hybrid electric vehicles, and dc distributed power systems.

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Full Predictive Cascaded Speed and Current Control of an Induction Machine

Cited by 69 publications

References 28 publications

Analysis and Implementation of Constrained MTPA Criterion for Induction Machine Drives

Analysis and Implementation of Constrained MTPA Criterion for Induction Machine Drives

Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives

Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor

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