Reference voltage vector based model predictive control for semicontrolled open‐winding flux‐switching permanent magnet generator system with a novel zero‐sequence current suppression strategy

Abstract

This paper studies a reference voltage vector (RVV) based model predictive control (MPC) for semicontrolled open‐winding flux‐switching permanent magnet generator (SOW‐FSPMG). Common dc bus is adopted in this configuration, thereby leading to zero‐sequence current (ZSC). The first concern of this work is put into proposing a novel ZSC suppression strategy, which is on the basis of the redundant vector pre‐selection. Secondly, a deadbeat flux control (DBFC) is adopted to calculate the RVV. Then, only 4, 3 or 2 vectors adjacent to the RVV are of interest during each sampling period, thereby decreasing the computation burden; meanwhile, a simplified cost function that evaluates the error between the RVV and the prediction voltage vectors is defined. Thirdly, the side effect of dead‐time inherent to voltage source converter (VSC) on the system's steady‐state performance is analysed and discussed. In order to properly leverage the dead‐time, a solution to regulate duty‐cycles of the dead‐time voltage vector and the selected one is studied, by which means, steady‐state performance of the system can be highly improved. Finally, experimental results are presented to verify the correctness and effectiveness of the proposed method.

Review of Control Topologies for Flux Switching Motor

“…The salient features of different sensorless controllers are summarized in Table 5. [31], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66] Sensorless controllers estimate the rotor position or speed at that instant, but to improve the fault tolerance of the motor, the FIGURE 19. Pictorial representation of sensorless controllers [34], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55].…”

“…TABLE 6. Summary of salient features of predictive control techniques [31], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [69]. PI controller is also used along with the Dahalin controller in the current loop for single-phase DCFSM in [40] to minimize torque ripple [41].…”

“…To optimize the duration of the voltage vector, Model Predictive Torque Control (AVS-MPTC) with flux adjusting strategy was implemented in [62], and modified MPCC with a Nonlinear Prediction model (MPC-NP), is developed in [63]. Reference Voltage Vector (RVV) based MPC is applied for FSG in [64] to properly leverage the dead time with a minimum computational burden.…”

“…For the case study, initially, the conventional PI controller [30] is chosen, and with a modification, the PI with Feed-Forward (PI FF) [36] then sensorless algorithms like PLL [42] and SMO [43], and at last, conventional MPC [56] algorithms are chosen as well to analyze the performance of FSPM. [31], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [69]. The case study is based on the simulation results of these algorithms using MATLAB Simulink.…”

Aggregate regulation strategy of distributed energy storage under power spot market in China

“…With the continuous advancement of China's power market reform [1], the power market in the southern region (starting with Guangdong) officially entered the spot trial operation phase of full-month clearing and settlement in August 2020 [2]. Being under the power spot market and facing with large fluctuations in real-time power prices [3], power users begin to investigate new profit models for their rich adjustable resources. This is especially true for the distributed energy storage (DES), which can use its fast adjustment characteristic to carry out real-time arbitrage for improving its own economic profits [4,5].…”