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"A Single-Phase High Gain Active-Switched Quasi Z-Source NNPC Inverter" by Milad Shamouei-Milan, Reza Asgarniya et al.

Impedance source-based multilevel inverters have recently gained popularity for new renewable energy sources. This study describes a quasi Z-source (qZS) based single phase five level nested neutral point clamped (SL-NNPC). Compared to previous topologies, the suggested qZS, which uses active switches, has input continuous current and common ground between the input dc source and the converter's output dc source, which is the same as the inverter's input dc link. In addition, this converter features a high voltage gain and low voltage stress on the switch and diodes. To regulate the flying capacitor voltages and consequently the inverter's output current, the Model predictive control (MPC) method for the 5L-NNPC inverter is implemented. ....

Five Level Nested Neutral Point Clamped , Model Predictive Control , Quasiz Source ,

PID tuning advice | Control Engineering

PID tuning is the process of adjusting the controller's parameters to improve performance and is a challenging task for control engineers. ....

Markt Hoske , Internal Model Control , Model Predictive Control , Control Engineering , Model Control , Predictive Control , Tyler Wall ,

AI & MACHINE LEARNING - AIT Austrian Institute Of Technology

AI & MACHINE LEARNING - AIT Austrian Institute Of Technology
ait.ac.at - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from ait.ac.at Daily Mail and Mail on Sunday newspapers.

Markov Decision Process , Temporal Difference , Model Predictive Control , Shapley Additive Explainers ,

"Disturbance rejection enhancement using predictive control for the fix" by Abdul Sattar, Liuping Wang et al.

The performance of small fixed-wing unmanned aerial vehicles (UAVs) is easily degraded by exogenous disturbances. In an attempt to improve the performance, the structural change is made in conventional small fixed-wing UAV through segmentation of each aileron control surface into multiples. Detailed system identification experiments are performed on each aileron pair in the wind tunnel to acquire linear dynamic models for the roll attitude of the UAV. These experiments have provided the transfer functions for the aileron control surfaces based on corresponding frequency response. Three distinctive model predictive controllers are designed and deployed in real-time hardware to achieve the roll attitude control. The roll attitude control experiments are validated in wind tunnel under both normal and turbulent environments. The results show that multiple input and single output control system provides significant improvement in the roll attitude and disturbance rejection performance. The ....

Fixed Wing Uav , Model Predictive Control , Egmented Control Surfaces ,

"Model Predictive Control for Magnetic Linked Multiport Converter" by Zhipeng Qi, Md Ashib Rahman et al.

The magnetic linked multiport converter (MLMC) has high degree of control flexibility and can be operated as an effective interface for renewable energy integration to the traditional power grid and electric vehicle charging. Unlike the traditional magnetic linked dual port converters, the MLMC provides multiple ports, which share a common magnetic link. The MLMC has soft-switching ability, ensures galvanic isolation, and facilitates high-density power transmission. For the robust and effective operation of the MLMC, the voltages at the multiple ports should be perfectly balanced under rapid load change conditions so that the ports can be accessed in a plug-n-play manner. The traditional linear controller suffers from high voltage overshoot and undershoot under abrupt load change and the controller can be saturated which in turn makes the system unbalance. In this paper, a model predictive control technique is developed and proposed first time for the MLMC to ensure robust voltage cont ....

Magnetic Linked Multiport Converter , Model Predictive Control , Andom Load , Obust Voltage Control ,