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Optimal AGC regulators for power systems under restructured configuration with hybrid ESS
Several new rivals are entering the market as a result of the global restructuring of the electric power sector, which is also intensifying competition among existing market players. Better services, greater choices, and less expensive power are all intended to benefit consumers. For such systems to be more reliable, new control techniques with hybrid ESS are crucial. The CSOA-based hybrid ESS for a restructured T-G-S power system combines a polar fuzzy controller (PFC) with an FOPID controller. Testing is done on this controller’s resilience with CTD, random load demand, and parameter uncertainty. Additionally, a reconstructed N-G-S system is used to assess the viability of the suggested controller. A CSOA-based combined FOPID controller and polar fuzzy controller using hybrid ESS can improve frequency responses for Area-1 and Area-2 by 15.59% and 21.83%, respectively, and enhance the response of power variation of the tie-line under contract violation by 27.16% when compared to the CSOA: PII
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controller. The effectiveness of a CSOA-based combination (1 + FOID) controller and a polar fuzzy controller for a restructured T-H-G power system is demonstrated in another study. Other controllers, including GA: 1 + PFC, SOA: FOPID, SOA: PID, GA: PID, and OARs, are used to verify its performance. These controllers include a variety of linkages, including a control variable ∆P
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with the turbine’s controller. The proposed control scheme has the lowest cost function among various control strategies and has been shown to outperform several existing control methods. Moreover, it offers incredibly dependable performance under different load conditions.
Journal Article
Improving the Maximum Power Extraction from Wind Turbines Using a Second-Generation CRONE Controller
Developing precise and robust algorithms that can help in obtaining maximum power yield in a variable speed wind turbine is an important area of research in wind engineering. The present manuscript proposes a technique that utilizes a second-generation CRONE controller for the maximum power tracking technique (MPPT) to maximize power generation in a wind energy conversion system (WECS) based on a double-fed induction generator (DFIG). The authors propose this novel method because the classical controllers cannot provide adequate performance in terms of extracting the maximum energy from variable speed wind turbines when applying a real wind profile and they cannot guarantee the high stability of the WECS. Moreover, this novel controller sufficiently handles problems related to the control effort level. The performance of the second-generation CRONE method was mathematically modeled using MATLAB/Simulink and compared with four other types of MPPT control techniques, which include a proportional-integral linear controller (PI), nonlinear sliding mode controller (SMC), backstepping controller (BS), and fuzzy logic controller (FLC). Two different wind profiles, a step wind profile and a real wind profile, were considered for the comparative study. The response time, dynamic error percentage, and static error percentage were the quantitative parameters compared, and the qualitative parameters included set-point tracking and precision. This test demonstrated the superiority of the second-generation CRONE controller in terms of all of the compared parameters.
Journal Article
Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation
The permanent magnet synchronous motor (PMSM) is a highly efficient energy saving machine. Due to its simple structural characteristics, good heat radiation capability, and high efficiency, PMSMs are gradually replacing AC induction motors in many industrial applications. The PMSM has a nonlinear system and lies on parameters that differ over time with complex high-class dynamics. To achieve the excessive performance operation of a PMSM, it essentially needs a speed controller for providing accurate speed tracking, slight overshoot, and robust disturbance repulsion. Therefore, this article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. In view of the uncertainty factors, such as parameter perturbation and load disturbance, the H∞ robust control strategy is mainly reviewed based on the traditional control techniques, i.e., robust H∞ sliding mode controller (SMC), and H∞ robust current controller based on Hamilton–Jacobi Inequality (HJI) theory. Based on comparative analysis, this review simplifies the development trend of different control technologies used for a PMSM speed regulation system.
Journal Article
Building Arduino projects for the Internet of Things : experiments with real-world applications
This is a book about building Arduino-powered devices for everyday use, and then connecting those devices to the Internet. Connected devices allow for applications to be built around the connectivity benefits, a trend commonly referred to as The Internet of Things (IoT). The connectivity between devices is where the action lies today. If you're one of the many who have decided to build your own Arduino-powered devices for IoT applications, you've probably wished you could find a single resource--a guidebook for the eager-to-learn Arduino enthusiast--that teaches logically, methodically, and practically how the Arduino works and what you can build with it. Building Arduino Projects for the Internet of Things: Experiments with Real-World Applications is exactly what you need. Written by a software developer and solution architect who got tired of hunting and gathering various lessons for Arduino development as he taught himself all about the topic, this book gives you an incredibly strong foundation of Arduino-based device development, from which you can go in any direction according to your specific development needs and desires. Readers are introduced to the building blocks of IoT, and then deploy those principles to by building a variety of useful projects. Projects in the books gradually introduce the reader to key topics such as internet connectivity with Arduino, common IoT protocols, custom web visualization, and Android apps that receive sensor data on-demand and in realtime. IoT device enthusiasts of all ages will want this book by their side when developing Android-based devices.
Book
Extreme learning-based non-linear model predictive controller for an autonomous underwater vehicle: simulation and experimental results
In this study, an extreme learning-based non-linear model predictive controller (NMPC) is proposed for path following planning of an autonomous underwater vehicle (AUV) using horizontal way-points. The proposed controller comprises a kinematic controller and a dynamic controller. The kinematic controller is designed by using back-stepping approach whilst the dynamic controller is designed by employing the NMPC approach. The dynamics of the AUV is identified in real-time by employing an extreme learning machine (ELM) structure. In view of achieving improved performance of the ELM structure, its hidden layer parameters are optimally determined by applying Jaya optimisation algorithm. The resulting ELM model is then used to design a NMPC considering the constraint on rudder planes. The tracking performance of the proposed controller is compared with that of two recently reported control algorithms namely, $H_\\infty $H∞ state feedback controller and inverse optimal self-tuning proportional–integral–derivative (PID) controller. The proposed controller is implemented using MATLAB and then in real-time on a prototype AUV developed in the authors’ laboratory. From both the simulation and experimental results obtained, it is observed that the proposed controller exhibits superior tracking performance compared to both $H_\\infty $H∞ state feedback controller and inverse optimal self-tuning PID controller.
Journal Article
Programming the Intel Galileo : getting started with the Arduino-compatible development board
Get started programming your own fun electronics projects-no experience required! This hands-on guide offers a clear introduction to programming the Intel Galileo using Arduino Software. The book explains Intel Galileo hardware fundamentals and shows, step-by-step, how to write well-crafted sketches using easy-to-follow examples that move from basic to more advanced programming concepts. Programming the Intel Galileo: Getting Started with the Arduino-Compatible Development Board shows how to set up, connect, and quickly start programming the Intel Galileo. You will discover how to work with the board's inputs and outputs, use libraries, and connect to the Internet. From there, you will learn to program your own Galileo-based creations using Arduino's modified C language. * Serves both as a makers' guide and as an introduction for techs, developers, and engineers * Features a series of hands-on projects along with screenshots, diagrams, and source code * Written by a dedicated hobbyist and experienced author.
Book
A GWO-Based Indirect IMC-PID Controller for DC-DC Boost Converter
A PID controller design using an internal model control (IMC) approach is a well-established method for controller tuning in a DC-DC boost converter. This study introduces an innovative implementation of a novel indirect Internal Model Control (IMC) strategy for PID controller design, tailored specifically for a DC-DC boost converter. While the indirect IMC approach has been documented in prior research, its application to boost converters signifies a substantial contribution to the field. The proposed method simplifies the tuning process by focusing exclusively on the plant shifting parameter ψ, thereby eliminating the need for an IMC filter. Optimal tuning is achieved through the Grey Wolf Optimization (GWO) method, which enhances the controller’s stability, robustness, and transient response in the presence of disturbances commonly encountered in boost converter operation. Extensive simulations are performed in a MATLAB Simulink environment to compare the performance of the GWO-based indirect IMC-PID controller with traditional PID and IMC-PID designs. Performance is assessed based on transient response parameters and performance indices, such as IAE, ISE, ITAE, and ITSE. Results reveal that the GWO-optimized indirect IMC-PID controller significantly outperforms conventional controllers, demonstrating enhanced servo and regulatory behaviors.
Journal Article