Model Predictive Control: MPC's Role in the Evolution of Power Electronics

Kouro, Samir; Pérez, Marcelo A.; Rodríguez, José; Llor, Ana M.; Young, Héctor

doi:10.1109/mie.2015.2478920

Cited by 414 publications

(200 citation statements)

References 133 publications

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“…Regarding implementation issues, it is well-known that Digital Signal Processors (DSPs), have experienced an exponential development in processing power [32]. Therefore even when the proposed control algorithm, based on 21 selftuning resonant controllers, seems relatively complex it is simple to implement using a commercial DSP with a good processing capability and a suitable FPGA platforms.…”

Section: Proposed Control Systemmentioning

confidence: 99%

Experimental Evaluation of a CPT-Based Four-Leg Active Power Compensator for Distributed Generation

Burgos-Mellado

Hernandez-Cariman

Cárdenas

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

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Abstract -Four-wire microgrids and distribution systems are inherently unbalanced with the presence of negative and zero sequence components in voltages and currents. In small autonomous systems the imbalance, in addition to the harmonic distortion produced by non-linear loads, can significantly affect power quality, loadability and stability of the system. Furthermore, in isolated networks with significant generation from intermittent renewable energy sources, the stiffness of the system is reduced and this could amplify the effects of imbalance on the stability and power quality. To mitigate some of these problems, a novel methodology based on the application of a 4-leg Active Power Filter (APF) is proposed in this paper. The control of the compensator is based on the Conservative Power Theory (CPT) augmented by Resonant Controllers. The behaviour of the proposed system is demonstrated using an experimental prototype deployed in a laboratory scale microgrid Index Terms-Active power filter, conservative power theory, resonant control, microgrids, imbalance, harmonic distortion.

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Section: Proposed Control Systemmentioning

confidence: 99%

Experimental Evaluation of a CPT-Based Four-Leg Active Power Compensator for Distributed Generation

Burgos-Mellado

Hernandez-Cariman

Cárdenas

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

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“…This method determines the future input of the system by predicting the behavior of the system in a receding horizon based on the system model. State Space (SS) model, Transfer Function (TF) model, Impulse Response (IR) model, and Step Response (SR) model are some types of modeling methods that can be used in MPC [12][13][14][15]. The State Space model is used in this paper and is represented by (13) and (14).…”

Section: Control Synthesismentioning

confidence: 99%

“…SAC is a four-step in a loop process that continuously iterates until an optimal minimum is attained that yields fi x . The first step is predicting the initial value init x which begins at 0 t and extends till ( ) ( , ( ), ( )) x t f t x t v t ′ = (15) The SS model of the proposed system of this paper is derived from (12)-(16). Since the system is nonlinear, and the model changes when switching status changes, two sub-models are considered.…”

Section: Control Synthesismentioning

confidence: 99%

“…The first step is predicting the initial value x init which begins at t 0 and extends till t f with a horizon length of T = t f − t s when this is performed repeatedly a piecewise continuous response is obtained. The main concept of SAC is shown by (15) where v(t) is the given control variable, v ∈ R m , a short application duration, λ ∈ R + .…”

Section: Control Synthesismentioning

confidence: 99%

See 1 more Smart Citation

Utilizing Sequential Action Control Method in GaN-Based High-Speed Drive for BLDC Motor

Niknejad¹,

Agarwal²,

Barzegaran³

2017

Machines

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This paper presents a hybrid model-based control algorithm that combines Model Predictive Control (MPC) and Sequential Action Control (SAC) deployed in a high-speed drive for Brushless DC (BLDC) motor by using a DC-DC converter with Gallium Nitride (GaN) switches. GaN FETs are selected because of their higher speed and lower power loss as compared with traditional Si switches. In the proposed framework, SAC processes the initial values of the control variables as well as their time of application and their duration in MPC loop. After receiving the underlying estimation of future contribution from SAC, MPC consolidates it with current input and predicts future control values by using the system state space model. This hybrid control conserves control effort and reduces sensitivity to initial conditions. In this way, converter's output voltage is controlled to produce the reference speed at the motor output. National Instrument PXIe-6356 module is utilized as the interface between software and hardware that is a multi-function, LabVIEW-compatible data acquisition device. The viability of the proposed hybrid optimization for the high-speed drive is confirmed numerically by utilizing MATLAB/Simulink and approved experimentally using a Gallium Nitride (GaN) half-bridge DC-DC converter.

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“…The predictive direct power control methods for PWM rectifiers are based on predicting future real and reactive power components to select an optimal voltage vector, which are in turn calculated by the source voltages. Therefore, distorted source voltages of PWM rectifiers result in deteriorated performance of PWM rectifiers, such as increased harmonic distortions of the input currents and increased ripples in the power components [7], [20]. With these factors in mind, a predictive direct power control method based on a Kalman filter is proposed in this paper for three-phase pulsewidth modulation (PWM) rectifiers to improve the performance of rectifiers with source voltages distorted with harmonic components.…”

Section: Introductionmentioning

confidence: 99%

A Kalman Filter based Predictive Direct Power Control Scheme to Mitigate Source Voltage Distortions in PWM Rectifiers

Moon¹,

Kim²,

Roh³

et al. 2017

Journal of Power Electronics

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In this paper, a predictive direct power control (DPC) method based on a Kalman filter is presented for three-phase pulse-width modulation (PWM) rectifiers to improve the performance of rectifiers with source voltages that are distorted with harmonic components. This method can eliminate the most significant harmonic components of the source voltage using a Kalman filter algorithm. In the process of predicting the future real and reactive power to select an optimal voltage vector in the predictive DPC, the proposed method utilizes source voltages filtered by a Kalman filter, which can mitigate the adverse effects of distorted source voltages on control performance. As a result, the quality of the source currents synthesized using the PWM rectifier is improved, and the total harmonic distortion (THD) values are reduced, even under distorted source voltages.

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Model Predictive Control: MPC's Role in the Evolution of Power Electronics

Cited by 414 publications

References 133 publications

Experimental Evaluation of a CPT-Based Four-Leg Active Power Compensator for Distributed Generation

Experimental Evaluation of a CPT-Based Four-Leg Active Power Compensator for Distributed Generation

Utilizing Sequential Action Control Method in GaN-Based High-Speed Drive for BLDC Motor

A Kalman Filter based Predictive Direct Power Control Scheme to Mitigate Source Voltage Distortions in PWM Rectifiers

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