Abstract:In this paper, a simplified finite‐control‐set model predictive control (FCS‐MPC) method with a deadbeat solution is proposed for eight‐switch, three‐phase, neutral‐point‐clamped converters (ESTP‐NPCs). Specifically, in order to improve the computational efficiency, a novel sector distribution scheme is presented by dividing the whole voltage vector space into eight sectors. In the each sector, only three voltage vectors are determined as new candidate finite control sets (FCSs), and then the optimal voltage v… Show more
“…3. Figure 3 shows a virtual vector u vir composed of a long vector u 2 [1 –1 –1] and medium vector u 1 [1 0 –1] The relationship between the virtual vector u vir and the basic voltage vectors is depicted in where t 1 + t 2 = T s , t 1 , and t 2 are the time durations of u 1 and u 2 , respectively.…”
Section: Fcs‐mpc Model and Synthesis Of Virtual Vectorsmentioning
confidence: 99%
“…Three-level neutral-point clamped (NPC) converter plays an essential role in many industrial applications. Among numerous topologies, the three-level three-phase NPC inverter [1] is widely applied. Therefore, it is crucial to design and develop an efficient controller for the three-level NPC grid-tied converters.…”
Virtual vector is applied in neutral-point-clamped (NPC) three-level converter finite control set model predictive control (FCS-MPC) strategy due to its good performance of less current ripples and high power efficiency. However, in the process of adding virtual vectors, some redundant virtual vectors will be selected. Excessive virtual vector will increase the computational burden and affect grid-tied current performance. A virtual vector optimal selection strategy for model predictive control to determine the vectors is proposed. The strategy calculates the fluctuation of grid-tied current through theoretical analysis. Based on the analysis of amplitude fluctuation of grid-tied current, the graphics of coverage angle visualization can be obtained under different virtual vector. The angle of the required virtual vectors is obtained through the graphics of coverage angle visualization. The number of virtual vector can be determined when the error current angle range covers the entire vector graph. The proposed control strategy was compared with the conventional control strategies, including excessive virtual vectors or with no any virtual vector. Experimental results show that the proposed control strategy can significantly reduce THD, grid-tied current error and computational burden.
“…3. Figure 3 shows a virtual vector u vir composed of a long vector u 2 [1 –1 –1] and medium vector u 1 [1 0 –1] The relationship between the virtual vector u vir and the basic voltage vectors is depicted in where t 1 + t 2 = T s , t 1 , and t 2 are the time durations of u 1 and u 2 , respectively.…”
Section: Fcs‐mpc Model and Synthesis Of Virtual Vectorsmentioning
confidence: 99%
“…Three-level neutral-point clamped (NPC) converter plays an essential role in many industrial applications. Among numerous topologies, the three-level three-phase NPC inverter [1] is widely applied. Therefore, it is crucial to design and develop an efficient controller for the three-level NPC grid-tied converters.…”
Virtual vector is applied in neutral-point-clamped (NPC) three-level converter finite control set model predictive control (FCS-MPC) strategy due to its good performance of less current ripples and high power efficiency. However, in the process of adding virtual vectors, some redundant virtual vectors will be selected. Excessive virtual vector will increase the computational burden and affect grid-tied current performance. A virtual vector optimal selection strategy for model predictive control to determine the vectors is proposed. The strategy calculates the fluctuation of grid-tied current through theoretical analysis. Based on the analysis of amplitude fluctuation of grid-tied current, the graphics of coverage angle visualization can be obtained under different virtual vector. The angle of the required virtual vectors is obtained through the graphics of coverage angle visualization. The number of virtual vector can be determined when the error current angle range covers the entire vector graph. The proposed control strategy was compared with the conventional control strategies, including excessive virtual vectors or with no any virtual vector. Experimental results show that the proposed control strategy can significantly reduce THD, grid-tied current error and computational burden.
“…Wang et al used finite control set model predictive control (FCS-MPC) for a neutral point clamped multilevel inverter [17]. Abbaszadeh et al considered a PMSM with nonsinusoidal flux distribution and used the least square method to minimize torque ripple [18].…”
Electric vehicles (EVs) have the main advantage of using sustainable forms of energy to operate and can be integrated into electrical power grids for better energy management. An essential part of the EV propulsion system is the type of motor used to propel the EV. Permanent magnet synchronous motors (PMSMs) have found extensive use due to various advantages such as high power density, excellent torque-to-weight ratio and smooth speed profile over the entire torque range. The objective of this paper was to improve the dynamic response in the speed profile for different driving conditions essential in EVs. This was done by using the finite control set model predictive control (FCS-MPC) algorithm for PMSM and by comparing and evaluating the control strategies of a PMSM used in an EV by taking two case studies. The classical control, namely field-oriented control (FOC), of PMSMs is slow to adopt the dynamic changes in the system. The proposed FCS-MPC algorithm for PMSMs provides an improved dynamic response and a good steady-state response for the different driving conditions shown in both cases. In addition, the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) is used to evaluate the FCS-MPC-controlled PMSM to depict its superior performance by matching its speed profile. The results are verified in the hardware in the loop strategy using OPAL-RT. Both the results confirm that the FCS-MPC algorithm, when compared with the conventional FOC, is superior in aspects of steady-state and dynamic responses for various torque and speed profiles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.