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Predictive Control of Power Converters and Electrical Drives
<p>The application Model Predictive Control (MPC) controls electrical energy with the use of power converters and offers a highly flexible alternative to the use of modulators and linear controllers. This new approach takes into account the discrete and nonlinear nature of the power converters and drives and promises to have a strong impact on control in power electronics in the coming decades.</p> <p><i>Predictive Control of Power Converters and Electrical Drives</i> provides a comprehensive overview of the general principles and current research into MPC and is ideal for engineers, specialists and researchers needing: </p> <ul> <li>a straightforward explanation of the theory and implementation of predictive control;</li> <li>analysis on classical converter control methods and electrical drives control methods;</li> <li>application examples and case studies demonstrating how control schemes have been implemented;</li> <li>practice in running their own MATLAB<sup>(R)</sup> simulations through the companion website.</li> </ul> <p>With the information provided, power electronics specialists will be able to start applying this new control technique. This book will help electrical, electronics and control engineers, R&D engineers, product development engineers working in power electronics and drives, and industry engineers of power conversions and motor drives. It is also a complete reference for university researchers, graduate and senior-level undergraduate students of electrical and electronics engineering, academic control specialists, and academics in electrical drives.</p> <p>URL: www.wiley.com/go/rodriguez_control</p>
eBook
Glycemia Reduction in Type 2 Diabetes — Microvascular and Cardiovascular Outcomes
In a secondary analysis comparing the effect of insulin glargine, glimepiride, liraglutide, and sitagliptin, added to metformin, on the incidences of microvascular complications and death, no material between-group differences were seen.
Journal Article
Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads
This study introduces a proposed control method for microgrids (MGs) in islanded (off‐grid) mode. The proposed control method is developed by modifying the droop control method using H‐infinity controller. In this control method, the droop control loop, current and voltage control loops are adjusted to respond to system load variation. The proposed method is an adaptive control one as it regulates the system voltage and frequency to their nominal values after system load variations. Also, it is a repetitive control method as it depends on the internal model principle that provides good performance for voltage and current error tracking. To prove the applicability and effectiveness of the proposed method, it is applied to a test system using MATLAB/Simulink under three different loading conditions. The results are compared with those of droop control and they prove the effectiveness of the proposed method in adjusting MGs under the off‐grid mode of operation. Also, a system stability analysis is performed based on root locus and system step response. Robustness analysis is performed to prove the ability of the proposed controller to restore the system performance after the fault clearance.
Journal Article
Recent advances in vibration control of offshore platforms
Offshore platforms are widely used to explore, drill, produce, storage, and transport ocean resources and are usually subject to environmental loading, such as waves, winds, ice, and currents, which may lead to failure of deck facilities, fatigue failure of platforms, inefficiency of operation, and even discomfort of crews. In order to ensure reliability and safety of offshore platforms, it is of great significance to explore a proper way of suppressing vibration of offshore platforms. There are mainly three types of control schemes, i.e., passive control schemes, semi-active control schemes, and active control schemes, to deal with vibration of offshore platforms. This paper provides an overview of these schemes. Firstly, passive control schemes and several semi-active control schemes are briefly summarized. Secondly, some classical active control approaches, such as optimal control, robust control, and intelligent control, are briefly reviewed. Thirdly, recent advances of active control schemes with delayed feedback control, sliding model control, sampled-data control, and network-based control are deeply analyzed. Finally, some challenging issues are provided to guide future research directions.
Journal Article