{"product_id":"environmental-control-for-plants-using-intelligent-control-systems-von-ibrahim-a-hameed","title":"Environmental Control for Plants using Intelligent Control Systems","description":"\u003cp\u003eMaster's Thesis from the year 2005 in the subject Computer Sciences - Artificial Intelligence, grade: MSc, , course: Intelligent Control, language: English, abstract: [...] In practice, conventional controllers were used to control the system however their\u003c\/p\u003e\u003cp\u003eparameters are empirically adjusted. Besides, the operation of these controllers relies on the\u003c\/p\u003e\u003cp\u003emeasurements provided by sensors located inside and near the greenhouse. If the\u003c\/p\u003e\u003cp\u003einformation provided by one or several of these sensors is erroneous, the controllers will not operate properly. Similarly, failure of one or several of the actuators to function\u003c\/p\u003e\u003cp\u003eproperly will impair the greenhouse operation. Therefore, an automatic diagnosis system of\u003c\/p\u003e\u003cp\u003efailures in greenhouses is proposed. The diagnosis system is based on deviations observed\u003c\/p\u003e\u003cp\u003ebetween measurements performed in the system and the predictions of a model of the\u003c\/p\u003e\u003cp\u003efailure-free system. This comparison is done through a bank of fuzzy observers, where each\u003c\/p\u003e\u003cp\u003eobserver becomes active to a specific failure signature and inactive to the other failures.\u003c\/p\u003e\u003cp\u003eNeural networks are used to develop a model for the failure-free greenhouse.\u003c\/p\u003e\u003cp\u003eThe main objective of this thesis is to explore and develop intelligent control schemes\u003c\/p\u003e\u003cp\u003efor adjusting the climate inside a greenhouse. The thesis employs the conventional Pseudo-\u003c\/p\u003e\u003cp\u003eDerivative Feedback (PDF) Controller. It develops the fuzzy PDF controller (FPDF). The\u003c\/p\u003e\u003cp\u003ethesis also, develops two genetic algorithm (GA) based climatic control schemes, one is\u003c\/p\u003e\u003cp\u003egenetic PDF (GPDF) and the other is genetic FPDF (GFPDF). The former uses GA to\u003c\/p\u003e\u003cp\u003eadjust the gains of the Pseudo-Derivative Feedback Controller (GPDF) and the later uses\u003c\/p\u003e\u003cp\u003egenetic algorithm to optimize the FPDF controller parameters (i.e., scale factors and\/or\u003c\/p\u003e\u003cp\u003eparameters of the membership functions). Finally, the thesis develops a fuzzy neural fault\u003c\/p\u003e\u003cp\u003edetection and isolation system (FNFDIS), in which a bank of fuzzy observers are designed\u003c\/p\u003e\u003cp\u003eto detect faults that may occur in the greenhouse end items (e.g.., sensors and actuators).\u003c\/p\u003e\u003cp\u003eSimulation experiments are performed to test the soundness and capabilities of the\u003c\/p\u003e\u003cp\u003edeveloped control schemes for controlling the greenhouse climate. The proposed schemes\u003c\/p\u003e\u003cp\u003eare tested through two experiments, setpoint tracking test and regulatory control test. Also,\u003c\/p\u003e\u003cp\u003ethe proposed diagnostic system was tested through four experiments. Compared with the\u003c\/p\u003e\u003cp\u003eresults obtained using the conventional controllers, best results have been achieved using\u003c\/p\u003e\u003cp\u003ethe proposed control schemes.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783656152453\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783656152453","offer_id":39446371106909,"sku":"9783656152453","price":47.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/807f638d-d986-43d7-9a98-d9609ef68d73.jpg?v=1781673941","url":"https:\/\/shop.autorenwelt.de\/en\/products\/environmental-control-for-plants-using-intelligent-control-systems-von-ibrahim-a-hameed","provider":"Autorenwelt Shop","version":"1.0","type":"link"}