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This paper proposes a general and an improved methodology for the design of the passive elements of Active Regenerative Rectifiers (ARR). The proposed strategy for the L-filter is based on the current area error in the time domain and on the high order current harmonics in the frequency domain. This strategy is independent of the type of control technique and it can be implemented for different modulation...
An adaptive reference model predictive control (ARMPC) approach is proposed as an alternative means of controlling power converters in response to the issue of steady-state residual errors presented in power converters under the conventional model predictive control (MPC). Differing from other methods of eliminating steady-state errors of MPC based control, such as MPC with integrator, the proposed...
This paper proposes a power decoupling method based on single-phase quasi-Z-source inverter (SPQZSI) for DC microgrid applications. Single-phase inverter would cause harmonic issues especially voltage ripple in DC microgrid because of low-frequency (100/120Hz) power ripple. Non-linear load or source would generate other harmonic on the common DC link as well. In order to achieve power decoupling,...
Model predictive control (MPC) strategy is a typical optimization predictive control method. MPC can achieve satisfying control performance with lower model parameter dependency, and it has been widely applied in process control systems. To improve the system reliability and reduce the hardware cost, extended Kalman filter (EKF) was introduced to achieve sensorless operation. A novel speed sensorless...
This paper presents an enhanced strategy for Direct Torque Control (DTC) combining artificial intelligent (AI) and predictive algorithms. The advantages of both methodologies are merged to solve the main problems of closed loop controlled induction machines (IM) and, in particular the drawbacks of the classical DTC. Predictive DTC (P-DTC) methods solve the problems of the high torque ripple and poor...
Model Predictive Control (MPC) is an optimization based control method that solves a multi-objective optimization problem to determine the optimal control action that minimizes a given cost function. This control technique is very promising for switching converters because its implementation is straightforward and it has been shown to provide good performance. This paper presents predictive control...
This paper presents a modified predictive algorithm for the current control of Neutral-Point Clamped (NPC) converter with reduced switching frequency. The predictive controller uses discrete time model of the converter and load system for predicting the future states of the controlled variable. The reduction in the average switching frequency of the converter is achieved by modifying the finite control...
The three-level T-type inverter has outstanding performances and better in the switching device selection than a two-level inverter. However, the problem of common-mode voltages and neutral-point potential (NP) unbalance is generated. This paper proposes a model predictive control method for reducing the common mode voltage and balancing the neutral-point potential (NP). Based on the relationship...
The topology of parallel three-phase voltage source inverters (VSIs) has been widely utilized to raise system power rating, but zero-sequence circulating currents (ZSCCs) are generated by control effect and hardware parameter differences. ZSCCs could lead to current distortion and impact the system stability. The model predictive control (MPC) method has been applied to the inverters to get high robustness,...
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