Fuzzy control systems for thermal processes: synthesis, design and implementation

A completed case study on fuzzy logic control of thermal processes has been carried out using a professional laboratory oven for industrial purpose as an experimental test rig. It involved system engineering design analysis, control synthesis, and implementation as well as application software and signal interface design and development. The resulting expertise and lessons learned are reported in this contribution. The structure of PD type of fuzzy logic controllers is closely discussed along with synthesis issues of membership functions and knowledge rule base. Special software was developed using Microsoft Visual Studio, C++ and Visual basic for GUI for a standard PC platform. The application software designed and implemented has four modules: FIS editor, Rule Editor, Membership Function Editor and Fuzzy Controller with Rule Viewer. Quality and performance of the overall fuzzy process control system have been investigated and validated to fulfill the required quality specification

Switched fuzzy control systems: Exploring the performance in applications

Dimirovski, Georgi M. (Dogus Author) -- Conference full title: EMS 2010 : proceedings : UKSim Fourth European Modelling Symposium on Computer Modelling and Simulation : 17-19 November 2010, Pisa, ItalyIn this paper we propose a concept for building simulation algorithms for switched fuzzy control systems. Using these concepts we have shown the whole process of modeling, stability analysis and design of stabilizing switched fuzzy logic controllers for the hovercraft-vehicle, as a typical nonholonomic system. Using this typical nonholonomic system (the system is subject to constraints involving both, the position and velocity, whereupon it can not be stabilized by any continuous feedback control law) we have also explored the good performance of switched fuzzy systems in comparison to the ordinary T-S fuzzy systems. MATLAB Simulator (Simulink model) and special MATLAB functions for the switched fuzzy controller of the hovercraft vehicle, along with the numerous simulation results, verify the correctness of the proposed concepts.UKSim, USM, Scuola Superiore Sant'Anna, Asia Modelling and Simulation Society (AMSS), Nottingham Trent University

Short term load forecasting: A dynamic neural network based genetic algorithm optimization

Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010) : Ohrid, Macedonia, 6 - 8 September 2010The short term load forecasting plays a significant role in the management of power system supply for countries and regions, in particular in cases of insufficient electric energy for increased needs. A back-propagation artificial neural-network (BP-ANN) genetic algorithm (GA) based optimizing technique for improved accuracy of predictions short term loads is proposed. With GA's optimizing and BP-ANN's dynamic capacity, the weighted GA optimization is realized by selection, crossing and mutation operations. The performance of the proposed technique has been tested using load time-series from a real-world electrical power system. Its prediction has been compared to those of obtained by only backpropagation based neural-network techniques. Simulation results demonstrated that the here proposed technique possesses superior performance thus guarantees better forecasting.ELEM, Repub. Macedonia Chamb. Certif. Archit. Certif. Eng