Abstract
This paper presents an improved continuous control set model predictive control (CCS-MPC) scheme using a fuzzy logic approach (FLA) for three-phase constant voltage constant frequency (CVCF) inverters with an output LC filter. The proposed method can enhance the output voltage quality by using an optimal predictive control law (OPCL). Additionally, the proposed method corrects the input voltage commands through the FLA-based online gain tuning aiming to satisfy the hardware constraint. Thus, the proposed FLA-based CCS-MPC can guarantee an acceptable output voltage with a faster transient response, smaller steady-state error (SSE), and lower total harmonic distortion (THD). Moreover, a Kalman filter-based load current observer is used to significantly improve the reliability and robustness. Comparative experimental studies with another CCS-MPC method are conducted on a prototype three-phase CVCF inverter using TI TMS320F28335 DSP to validate the improved performance under the step-changes of linear/unbalanced/nonlinear loads with uncertain parameters.
Highlights
Recently, an LC-filtered three-phase (3φ) constant voltage constant frequency (CVCF) inverter is commonly used in various power electronic converter applications such as distributed generations (DGs), uninterruptible power supply (UPS) units, and energy storage systems (ESSs) [1]–[3]
The control schemes dedicated to the CVCF pulsewidth modulation (PWM) inverters are requested such that the output voltage is guaranteed in a high-quality waveform such as fast transient behavior, low total harmonic distortion (THD), and small steady-state error (SSE) under severe load conditions
The model predictive control (MPC) can be mainly classified as two groups: finite control set (FCS)-MPC [12]–[16] and continuous control set (CCS)-MPC [17]–[25]
Summary
An LC-filtered three-phase (3φ) constant voltage constant frequency (CVCF) inverter is commonly used in various power electronic converter applications such as distributed generations (DGs), uninterruptible power supply (UPS) units, and energy storage systems (ESSs) [1]–[3]. The FLA-based online gain tuning method in the constrained mode is presented to satisfy the inverter voltage constraint and the desired control performance such as fast dynamic response, small SSE, low THD, and robustness against parameter uncertainties. Unlike the fuzzy tuning algorithm in [29], which uses the incremental values for the PI gains in the current controller to attain the desired control performance, the fuzzy gain tuning method in this paper is used to directly determine the controller gain K by considering the safe operation in the constrained mode and the good control performance (i.e., fast dynamic response, small SSE, low THD, and robustness against parameter variations). All the offline process is computed by using MATLAB commands in advance
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