Silicon Mobility with Cascadia Motion show up to 4 6% motor and inverter efficiency improvements by advanced control prweb.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prweb.com Daily Mail and Mail on Sunday newspapers.
Abstract
This paper presents a continuous control set model predictive control (MPC) based advanced switching sequence (SS) for the single-phase three-level grid connected neutral point clamp converters. The SSs are developed considering the tracking performance of the current feed to the utility grid, balancing the dc-bus capacitors voltages as well as the switching loss in the semiconductor devices. In the proposed strategy, the number of pole state change (SC) per control cycle is only 2, while in the conventional optimum switching sequence and the multiple voltage vector (VV) based MPC (pulse sequence similar to the conventional space vector pulse width modulation technique), the number of pole SC is 4. The reduction of SC in each control cycle greatly reduces the switching loss of the power devices. Moreover, the dc-bus capacitors voltages are balanced using the redundancy nature of the VVs that further facilitates a weighting factor less design of the proposed technique. Furth
Abstract
This paper proposes a new lexicographic multi-objective model predictive control (MoMPC) scheme for constrained nonlinear systems with changing objective prioritization. The lexicographic optimization-based receding horizon optimal control problem is firstly formulated to accommodate the concern on prioritized control of multiple (economic) objectives. Then an elaborate generic function and the notion of general terminal constraints are introduced to regain feasibility of lexicographic MoMPC in the presence of constraints and changing objective prioritization. Moreover, the LaSalle invariance set theorem is used to establish stability of the closed-loop system with the lexicographic MoMPC. An example of a coupled-tank level control problem with three conflicting objectives is adopted to demonstrate the effectiveness of the proposed scheme.
Abstract
Virtual power plants (VPPs) have become a driving force for the decentralized energy industry, due to their efficient management and control of distributed energy resources. Most of the operation strategies for VPPs are designed based on the day-ahead forecasts. However, the prediction errors of the renewable energy sources (RES) and loads in the power dispatch schedule can lead to a sub-optimal operation. In this paper, an adaptive and predictive energy management strategy for a real-time optimal operation of VPPs is proposed based on the model predictive control technique with a feedback correction (FC) to compensate for the prediction error. This strategy has two parts: a) receding-horizon optimization (RHO), and b) FC. In the first part, a hybrid prediction algorithm based on the integration of the time series model and the Kalman filter is used to forecast the output powers of RES and the loads. Based on the prediction, the RHO model schedules the operation following t
Best Readings in Communications in Wireless Networked Control
Wireless networked control has attracted a lot of attention from both academia and industry in the past two decades, and has become a hot topic in recent years, mainly driven by mission-critical Industrial Internet of Things (IIoT) applications requiring closed-loop control, such as intelligent transportation, Tele-surgery, industry automation, power systems automation, and power electronics control. Specifically, a wireless networked control system (WNCS) is a spatially distributed control system consisting of networked sensors, actuators and a controller. The wireless sensors measure and report the physical process states of interest, the remote controller collects the sensors’ measurements and generates control signals, and the wireless actuators receive the control signals and control the processes. Due to its spatially distributed nature, reliable, dynamic and secure wireless communications among sensor, contro