Aging and temperature changes in the passive components of an LCL -filter grid connected converter system (GCCs) may lead to parameter uncertainties, which can turn influence its modeling accuracy for finite-control-set model predictive control (FCS-MPC). The presence errors will change resonan...

In this article, we describe the design and implementation of a current controller for reluctance synchronous machine (RSM) based on continuous control set nonlinear model predictive (NMPC). A computationally efficient gray box flux linkage map, Gaussian-linear-arctangent (GLA) model, is proposed employed in tracking formulation, which implemented using high-performance framework NMPC <monospac...

A continuous control set model predictive power strategy for an indirect matrix converter is proposed in this paper. The load reactive power, the active and input are controlled simultaneously. This can obtain output waveforms with fixed switching frequency. Additionally, optimal sequence to simplify commutations of converter. To suppress filter resonance, damping method proposed. Experimental ...

Parallel connection of multiple inverters is an important means to solve the expansion, reserve and protection distributed power generation, such as photovoltaics. In view shortcomings traditional droop control methods weak anti-interference ability, low tracking accuracy inverter output voltage serious circulation phenomenon, a finite set model predictive (FCS-MPC) strategy microgrid multi-inv...

In this paper, improved finite control set model predictive voltage (FCS-MPVC) is proposed for the distributed energy resource (DER) in AC islanded microgrid (MG). Typically, MGs have two or more power electronic-based DERs, which ability to maintain a constant at point of common coupling (PCC) as well perform sharing among DERs. Though linear controllers can achieve above-mentioned tasks, they...

Quasi-Z source inverters (qZSI) can overcome the disadvantages of conventional wind power systems, because achieving balanced DC-link voltage by using its boost ability. The majority currently used control methods for are susceptible to parameter changes, and qZSI controlled finite switching sequence model predictive (FSS-MPC). In this paper, a Variable weight coefficient Model Predictive Contr...

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...

Thanks to the advancements in processor industry, popularity industrial applications of Finite control set model predictive (FCS-MPC) is increasing. FCS-MPC has several advantages, such as high closed-loop bandwidth, inclusion constraints, and nonlinearities. However, signals are directly produced by controller since no modulator used. Hence, system non-fixed switching frequency, maximum achiev...