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In order to improve the power quality of wind power generation system, a direct power control (DPC) strategy of open-winding brushless doubly-fed generator (BDFG) system based on dual converters is presented in this paper. The control method is divided into two parts: the grid side converter control and the machine side converter control. In terms of the grid side converter, a model predictive-based...
According to controllability theory of nonlinear coordinated control with multi-agent, this paper proposes a coordinative optimization method based on the model predictive control (MPC) to achieve the coordination control of energy allocation. Between the micro sources with the incremental cost of consistency algorithm for leader-follower, using an interactive algorithm to achieve the exact optimal...
The numerical prediction of the main state of the equipment is the first step in the prognostic and health management (PHM) study. Temperature is one of the most important health indicators of segment — powered linear motor. A nonlinear autoregressive with exogenous input neural network (NARXNN) model is trained to predict the temperature of the segment-powered linear motor. Based on the single —...
This paper proposes a model predictive torque-vector control (MPTVC) scheme for four-switch three-phase inverter (FSTPI)-fed permanent magnet synchronous motor (PMSM). A cost function consist of a new constructed reference torque-vector is designed. Thus, the control of the FSTPI-fed motor drive with the capacitor voltages dc offset suppression can be ensured by only tracking the reference torque-vector...
Model predictive control is a kind of control method based on parameter model. However, in the actual system, the parameters of the motor may deviate from the parameters in the model due to the influence of various objective factors, leading to deterioration of the control performance. In this paper, a strong parameters robustness model predictive current control (MPCC) method for permanent-magnet...
Low switching frequency operation is one of the most effective methods to reduce the switch losses in high-power industrial machine drives. However, a low switching frequency would affect the operation performance, e.g., harmonic distortion in the stator current, modulation delay and so on. With an electrically excited synchronous machine (EESM) being taken as the high-power drive load of a two-level...
Due to the changed parameters of double sided linear induction motor (DSLIM), the field oriented control (FOC) is not suitable in control and it will result in thrust fluctuation. The thrust control in the DSLIM is a better solution to suppress the thrust fluctuation. This paper establishes the dynamic model of DSLIMs according to the change principle of parameters and uses the model predictive thrust...
The finite-control-set model predictive direct torque control (FCS-MPDTC) is a novel and promising control scheme for permanent magnet synchronous motors (PMSMs). An important feature of FCS-MPDTC is that the eight possible voltage space vectors or switching combinations of the power converters are directly taken into account as the control input of the system. Due to the considerable torque and flux...
In this paper, more than ten different iron loss models are experimentally evaluated, which covers alternating and rotating fields, influence of temperature, DC bias flux density and distorted flux density due to PWM inverter. Iron loss models considering alternating fields are evaluated by the measured results of a lamination ring specimen. The iron loss model considering rotating field and nonsinusoidal...
Model predictive current control (MPCC) is a powerful control strategy for the control of three-phase power converters. Conventional MPCC achieves good steady state performance and quick dynamic response by selecting the optimal voltage vector. However, this method is highly dependent on the accuracy of the model and parameters, which means that the steady state performance will deteriorate when the...
Accurate lithium-ion battery power capability prediction gives an indication for managing power flows in or out of batteries within the safe operating area, which is one of the primary challenging functions of battery management systems (BMSs). The battery direct current resistance (DCR) is typically employed for power capability prediction, but its characteristic depends significantly on the ambient...
This paper proposes an improved model predictive torque control (MPTC) method for an open-end winding permanent magnet synchronous motor (OEW-PMSM) with reduced computation time. First, a basic predictive torque control algorithm is derived, which is based on the discrete system model and cost function. Then, a direct torque control (DTC) based switching table is developed to reduce the computation...
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