Predictive Current Control of Dual Three-Phase Drives Using Restrained Search Techniques

Durán, Mario J.; Prieto, Joel; Barrero, F.; Toral, S. L.

doi:10.1109/tie.2010.2087297

Cited by 133 publications

(76 citation statements)

References 33 publications

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“…A switching state that implies fewer commutations of the power semiconductors will be preferred. In this manner, the use of this term will have a direct effect on the switching frequency of the converter [9] .…”

Section: B Predictive Current Control Methodsmentioning

confidence: 99%

Radio Networks Predictive Control of a T-type Inverter in Wind Energy

Jian-jun

Yang²,

Yang³

et al. 2016

Int. J. Onl. Eng.

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Abstract-A new controlling method of three level inverters is proposed in this paper. Three-level T inverters are widely used in industry for high-power, medium-voltage power conversion and drives. Topics related to power losses due to commutation and quality of the output current is relevant issues in this power range. The neutral-point balancing problem in this topology is another subject that has been studied in recent years. Among the most common control methods for this converter, the literature states are non linear techniques, like hysteresis control, and linear methods, like the use of PI controllers in conjunction with pulse width modulation. The general predictive control scheme is applied here to the inverter. The behavior of the system is predicted for each possible switching state of this kind of inverter. The switching state that minimizes a given cost function is selected to be applied during the next sampling interval following the same strategy.

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Section: B Predictive Current Control Methodsmentioning

confidence: 99%

Radio Networks Predictive Control of a T-type Inverter in Wind Energy

Jian-jun

Yang²,

Yang³

et al. 2016

Int. J. Onl. Eng.

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“…Based on the measured voltage and current of BESS at sampling instant k, the variables at sampling instant k + 1 are predicted as given in Equation (14). For a small sampling time (Ts), the predicted grid voltage at sampling instant k + 1 can be assumed equal to the measured grid voltage at the k th sampling instant (vg(k + 1) = vg(k)) owing to the fundamental grid frequency [29].…”

Section: Discrete-time Model Of Convertermentioning

confidence: 99%

“…Figure 3a, PI control in the outer control loop is used to regulate the real/reactive powers as well as voltage of the microgrid. The reference current obtained by the outer control loop is used for the inner PCC control loop based on Equation (14). As shown in Figure 3b, in comparison, PPC based on Equations (15) and (16) can control real/reactive powers directly.…”

Section: Principle Of Mpcmentioning

confidence: 99%

“…However, PI control might show unsatisfactory results for nonlinear and discontinuous systems [10]. Meanwhile, model predictive control (MPC) is considered an attractive alternative to promote the performance of future energy processing and control systems [14]. Predictive strategies are based on the inherent discrete nature of a power converter.…”

Section: Introductionmentioning

confidence: 99%

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Application of Model Predictive Control to BESS for Microgrid Control

Nguyen¹,

Yoo²,

Kim³

2015

Energies

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Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators. Recently, model predictive control (MPC) has attracted attention for application to future energy processing and control systems because it can easily deal with multivariable cases, system constraints, and nonlinearities. This study considers the application of MPC-based BESSs to microgrid control. Two types of MPC are presented in this study: MPC based on predictive power control (PPC) and MPC based on PI control in the outer and predictive current control (PCC) in the inner control loops. In particular, the effective application of MPC for microgrids with multiple BESSs should be considered because of the differences in their control performance. In this study, microgrids with two BESSs based on two MPC techniques are considered as an example. The control performance of the MPC used for the control microgrid is compared to that of the PI control. The proposed control strategy is investigated through simulations using MATLAB/Simulink software. The simulation results show that the response time, power and voltage ripples, and frequency spectrum could be improved significantly by using MPC.

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“…improving the drive performance [9]. This chapter wide the concept of the MBPC techniques to the speed control of a dual three-phase induction machine, by using an Kalman Filter (KF) to improve the estimation of states through an optimal estimation of the rotor current.…”

Section: Introductionmentioning

confidence: 99%

The Asymmetrical Dual Three-Phase Induction Machine and the MBPC in the Speed Control

Recalde¹

2012

Induction Motors - Modelling and Control

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Predictive Current Control of Dual Three-Phase Drives Using Restrained Search Techniques

Cited by 133 publications

References 33 publications

Radio Networks Predictive Control of a T-type Inverter in Wind Energy

Radio Networks Predictive Control of a T-type Inverter in Wind Energy

Application of Model Predictive Control to BESS for Microgrid Control

The Asymmetrical Dual Three-Phase Induction Machine and the MBPC in the Speed Control

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