Current-Sensorless Finite-Set Model Predictive Control for <i>LC</i>-Filtered Voltage Source Inverters

Zheng, Changming; Dragičević, Tomislav; Blaabjerg, Frede

doi:10.1109/tpel.2019.2914452

Cited by 96 publications

(49 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In light of this, using the ℓ 2 -norm with direct MPC is getting more popular, see, e.g., [26], [32], [120], [129], [142]- [144]. Another advantage of the ℓ 2 -norm is that it turns the objective function into a quadratic one.…”

Section: A Objective Functionmentioning

confidence: 99%

“…Direct MPC-based schemes include controllers with reference tracking, hysteresis bounds and implicit modulator. Direct MPC with reference tracking-also known as finite control set MPC (FCS-MPC)is the method most favored in academia due to its wellreported advantages such as its intuitive design procedure and straightforward implementation [13], [21]- [32]. The aim is to achieve regulation of the output variables along their reference trajectories by manipulating the converter switches, and thus directly affecting their evolution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

Καραμανάκος

Liegmann

Geyer

et al. 2020

IEEE Open J. Ind. Applicat.

282

130

View full text Add to dashboard Cite

Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems. These can be classified into two major groups, namely, MPC without modulator, referred to as direct MPC, and MPC with a subsequent modulation stage, known as indirect MPC. Design choices and parameters that affect the system performance, closed-loop stability and controller robustness are discussed. Moreover, solvers and control platforms that can be employed for the real-time implementation of MPC algorithms are presented. Finally, the MPC schemes in question are assessed, among others, in terms of design and computational complexity, along with their performance and applicability depending on the power electronic system at hand.

show abstract

Section: A Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

Καραμανάκος

Liegmann

Geyer

et al. 2020

IEEE Open J. Ind. Applicat.

282

130

View full text Add to dashboard Cite

show abstract

“…Potential filter designs can be confirmed as feasible only after they meet all the constraints in the optimization. After using the measured signals to predict voltages on both DC and ac sides, delay compensation of v f and v C must be utilized for the experiment concern ( [34], as shown in Fig. 7).…”

Section: B Stabilization Via Cost Functionmentioning

confidence: 99%

Optimal Filter Design for Power Converters Regulated by FCS-MPC in the MEA

Gao

Yang

Dragičević

et al. 2021

IEEE Trans. Power Electron.

Self Cite

View full text Add to dashboard Cite

For the DC electrical power distribution system onboard more electric aircraft, the voltage quality of DC bus is of a great concern since there could be significant harmonics distortions when feeding different power electronics loads. This problem can be potentially addressed by introducing a DC filter to the point-of-load converters regulated by the finite control set model predictive control (FCS-MPC). To optimize this filter, Genetic Algorithm (GA) is utilized for searching the optimal design which guarantees a low mass and low power losses. Different from the conventional filter design methods, the proposed method treats LC as design variables which need to be optimised while ensuring the output power quality. First, relations among variables, operation conditions and constraints are built based on commercial data and circuit simulations. Then, the design and optimization are developed with these relations and a Pareto-front is finally given by GA. After that, the best design is obtained by an index integrating two objectives. Lastly, the design approach is verified by experiment where an FCS-MPC regulated converter was used as a particular example fed by three different LC filters. Index Terms-Filter design, genetic algorithm (GA), finite control set model predictive control (FCS-MPC), more electric aircraft (MEA). NOMENCLATURE v s , v dc Pure source voltage, DC supply voltage. v C DC capacitor voltage. Z in , Z out Input, output impedance. L 0 , R 0 DC microgrid impedance. L 1 LC filter inductance. C 1 LC filter capacitance. R 1 , R 2 Resistance of inductor and capacitor M, M max Total mass of LC filter. P L, P L max Total power loss of LC filter. H, H max Magnetic field strength inductor core.

show abstract

“…It has merits of robustness, excellent transient characteristics and easiness to include nonlinearities, constraints, and additional control objectives. Hence, the FCS-MPC principle has emerged as an attractive candidate for the control of VSIs [20]- [25]. In [20], current sensorless MPC control is proposed to reduce the hardware budget and to enhance system reliability.…”

Section: Introductionmentioning

confidence: 99%

An Improved Finite Control Set-MPC-Based Power Sharing Control Strategy for Islanded AC Microgrids

Chen¹,

Abdel‐Rahim²,

Peng³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Hierarchical linear control scheme is widely used in ac microgrids. However, its transient response is slow and parameter tuning is time-consuming. Finite Control Set-Model Predictive Control (FCS-MPC) strategy has desired dynamic performance. Nevertheless, it requires an additional sensor to measure the inductor current. This article aims to mitigate these problems by introducing an improved FCS-MPC strategy for paralleled Voltage Source Inverters (VSIs). A capacitor current estimator is employed to reduce the extra current sensor in each VSI. The proposed control scheme consists of two loops: voltage reference generation loop and voltage tracking loop. The voltage reference generation loop achieves accurate load power sharing using virtual impedance-based droop control. Thus, communication is unnecessary among parallel VSIs. The voltage tracking loop utilizes a modified FCS-MPC block with capacitor current estimator to regulate the VSI output voltage. In order to verify the concept of the proposed control strategy, an ac microgrid consisting of two paralleled VSIs is implemented in dSPACE DS1202 hardware-in-theloop platform. Then a single VSI hardware prototype is implemented and tested experimentally. The proposed method has the merits of good extensibility, low system cost and compact structure. Its steadystate performance is competitive with hierarchical linear control, while the transient response is significantly improved.

show abstract

Current-Sensorless Finite-Set Model Predictive Control for LC-Filtered Voltage Source Inverters

Cited by 96 publications

References 28 publications

Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

Optimal Filter Design for Power Converters Regulated by FCS-MPC in the MEA

An Improved Finite Control Set-MPC-Based Power Sharing Control Strategy for Islanded AC Microgrids

Contact Info

Product

Resources

About