Abstract
Finite Control Set Model Predictive Control (FCS-MPC) can improve the control performance of Five-level Active NPC (5L-ANPC) inverter effectively. However, with the increasing of the levels of inverter, the traditional FCS-MPC method has many problems, such as large amount of rolling optimization calculation and difficulty in weight coefficient design. In order to solve those problems, an Optimal Model Predictive Control (O-MPC) method is proposed. First, an optimal control method based on level jump limitation is proposed to reduce the number of switch states. Second, in order to solve the conflict problem of multiple control objectives and reduce the design difficulty of weight factors, a satisfactory optimal control method based on hierarchy is proposed. After the optimization, the calculation time of the controller is greatly reduced and the control performance of the multi-objective control system will be significantly improved. At last, the effectiveness and feasibility of the proposed O-MPC are validated by the experimental results.
Highlights
Traditional NPC three-level inverter cannot be applied to 6kV and above high-voltage system because of the limitation of power devices
In [15], a fast finite-levelstate model predictive control (FFLS-MPC) strategy was proposed in predictive control regulated modular multilevel converter (MMC), which aims to overcome the high computational complexity
Compared with MPC of two- and three-level converter, the MPC of 5L-ANPC converter has the following characteristics: 1) 5L-ANPC converter has more switching states, which means that the number of rolling optimizations of prediction model increases and the amount of calculation rises, which poses a challenge to the hardware design of control system [18]
Summary
Traditional NPC three-level inverter cannot be applied to 6kV and above high-voltage system because of the limitation of power devices. In [15], a fast finite-levelstate model predictive control (FFLS-MPC) strategy was proposed in predictive control regulated modular multilevel converter (MMC), which aims to overcome the high computational complexity This method has certain limitations and is only suitable for multi-level converters with multiple sub-modules in a similar MMC structure. Compared with MPC of two- and three-level converter, the MPC of 5L-ANPC converter has the following characteristics: 1) 5L-ANPC converter has more switching states, which means that the number of rolling optimizations of prediction model increases and the amount of calculation rises, which poses a challenge to the hardware design of control system [18]. An Optimal Model Predictive Control (O-MPC) method is presented to solve the above problems This proposed method can effectively reduce the number of switching states involved in the rolling optimization, so the efficiency of the processor will be improved. Analysis on the structure of 5L-ANPC inverter and the control principle of floating-capacitor voltage
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