Advanced Control Methodology for Intelligent Universal Transformers based on Fuzzy Logic Controllers
نویسندگان
چکیده
Intelligent Universal Transformer (IUT) is a power electronic base transformer introducing for Advanced Distribution Automation (ADA) in future. ADA is the state of art employing the new architecture based on both the flexible electrical network and open communication construction comprise the Future Distribution System. Fuzzy control is a method based on fuzzy logic concept emphasizes on fuzzy algorithms formulated by linguistically rules. Model free system, nonlinearity, robustness and flexibility under parameter variations are the benefit advantages of using fuzzy logic controllers. In this approach four layers IUT topology with the fuzzy logic controller have been considered for evolving the stability, reducing the uncertainty and enhancing the efficiency of whole system. Fuzzy logic control schemes are proposed for employing current source controllers in IGBT inverters at input stage and DC voltage control source in output stage. Real time voltage regulation, DC voltage option, automatic sag correction, reliable diverse power as 400Hz service, three-phase power from a single phase line, Harmonic Filtering, Flicker mitigation, options for energy storage , dynamic system monitoring and robustness under load disturbances are the resulting benefits of using IUT four layers topology and fuzzy logic controllers . Key-Words: ADA, IUT, IED, power electronic, FLC, membership function
منابع مشابه
Frequency Control of an Islanded Microgrid based on Intelligent Control of Demand Response using Fuzzy Logic and Particle Swarm Optimization (PSO) Algorithm
Due to the increasing penetration of renewable energies in the power system, the frequency control problem has attracted more attention, while the traditional control methods are not capable of regulating the frequency and securing the stability of the system. In smart grids, demand response as the frequency control tool reduces the dependence on spinning reserve and high cost controllers. In a...
متن کاملOptimal intelligent control for glucose regulation
This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic contro...
متن کاملIntroduction to Fuzzy Control ∗
In the last few years the applications of artificial intelligence techniques have been used to convert human experience into a form understandable by computers. Advanced control based on artificial intelligence techniques is called intelligent control. Intelligent systems are usually described by analogies with biological systems by, for example, looking at how human beings perform control task...
متن کاملNeural Predictive Model Control for Intelligent Universal Transformers in Advanced Distribution Automation of Tomorrow
Intelligent Universal Transformer (IUT) is a key point introducing as an Intelligent Electrical Devices (IED) for Advanced Distribution Automation (ADA) in future. ADA is the state of art, comprising flexible electrical architecture contributed with open communication construction for the tomorrow’s distribution automation. IUT is based on a power electronic transformer employing the new techno...
متن کاملFuzzy Logic Application for Intelligent Control of An Asynchronous Machine
The aim of this article is propose a method to improve the direct torque control and design a Fuzzy Logic based Controller which can take necessary control action to provide the desired torque and flux of an asynchronous machine. It’s widely used in the industrial application areas due to several features such as fast torque response and less dependence on the rotor parameters. The major proble...
متن کامل