Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches
Simplifying of implementation of linear state feedback fuzzy controllers is investigated through the thesis. One of the most important problems in fuzzy controller design is the number of fuzzy subsets (membership functions) for each fuzzy input/output variable. The number of fuzzy subsets and co...
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myupmir.613120231011T03:05:02Z Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 200605 Mohammad, Karimadini Simplifying of implementation of linear state feedback fuzzy controllers is investigated through the thesis. One of the most important problems in fuzzy controller design is the number of fuzzy subsets (membership functions) for each fuzzy input/output variable. The number of fuzzy subsets and consequently the number of fuzzy rules should be big enough to achieve good approximation of control surface and have a smooth and robust control. However as the number of rules increases, the memory space, and program cycle time and total project cost will also increase dramatically. The thesis proposes crispfuzzy like controller derived by two novel approaches. The first one which is formula based crisp fuzzylike controller proves that the monotonic fuzzy controller is similar to nonlinear saturated controller and then represents several different controller formulas. The second controller namely vectorized crisp fuzzy like controller maps the fuzzy variables in a vectorial space and derives formula that has the structure similar to PID controllers. The proposed controllers are inspired from fuzzy logic where they can express the control law semantically but they are absolutely crips.Consenquently the needed memory space is minimizes since the rule table has been replace with the formula. On the other fuzzy controllers have high computational complexity while the new controllers are very simple to design, tune and implment.some new performance indexes also are porposed to evaluate the performance and stability of different controllers. Several wellknown industrial models are used for simulation and a dimmer circuit to control the bulb temperature,has been used as a case study. Both simulation and experimental results show that the crips  fuzzy like controllers have the same or in some cases better performance and stability compare with the conventional fuzzy logic controllers, with extra merits of lower memory space and cycle time. Fuzzy logic Control theory Vector analysis 200605 Thesis http://psasir.upm.edu.my/id/eprint/6131/ http://psasir.upm.edu.my/id/eprint/6131/1/FK_2006_51.pdf text en public masters Universiti Putra Malaysia Fuzzy logic Control theory Vector analysis Engineering Marhaban, Mohammad Hamiruce English 
institution 
Universiti Putra Malaysia 
collection 
PSAS Institutional Repository 
language 
English English 
advisor 
Marhaban, Mohammad Hamiruce 
topic 
Fuzzy logic Control theory Vector analysis 
spellingShingle 
Fuzzy logic Control theory Vector analysis Mohammad, Karimadini Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
description 
Simplifying of implementation of linear state feedback fuzzy controllers is investigated
through the thesis. One of the most important problems in fuzzy controller design is the
number of fuzzy subsets (membership functions) for each fuzzy input/output variable.
The number of fuzzy subsets and consequently the number of fuzzy rules should be big
enough to achieve good approximation of control surface and have a smooth and robust
control. However as the number of rules increases, the memory space, and program
cycle time and total project cost will also increase dramatically.
The thesis proposes crispfuzzy like controller derived by two novel approaches. The
first one which is formula based crisp fuzzylike controller proves that the monotonic
fuzzy controller is similar to nonlinear saturated controller and then represents several
different controller formulas. The second controller namely vectorized crisp fuzzy like
controller maps the fuzzy variables in a vectorial space and derives formula that has the
structure similar to PID controllers. The proposed controllers are inspired from fuzzy logic where they can express the control law semantically but they are absolutely crips.Consenquently the needed memory space is minimizes since the rule table has been replace with the formula. On the other fuzzy controllers have high computational complexity while the new controllers are very simple to design, tune and implment.some new performance indexes also are porposed to evaluate the performance and stability of different controllers. Several wellknown industrial models are used for simulation and a dimmer circuit to control the bulb temperature,has been used as a case study. Both simulation and experimental results show that the crips  fuzzy like controllers have the same or in some cases better performance and stability compare with the conventional fuzzy logic controllers, with extra merits of lower memory space and cycle time. 
format 
Thesis 
qualification_level 
Master's degree 
author 
Mohammad, Karimadini 
author_facet 
Mohammad, Karimadini 
author_sort 
Mohammad, Karimadini 
title 
Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
title_short 
Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
title_full 
Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
title_fullStr 
Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
title_full_unstemmed 
Development of a Crisp FuzzyLike Controller Using FormulaBased and Vectorized Approaches 
title_sort 
development of a crisp fuzzylike controller using formulabased and vectorized approaches 
granting_institution 
Universiti Putra Malaysia 
granting_department 
Engineering 
publishDate 
2006 
url 
http://psasir.upm.edu.my/id/eprint/6131/1/FK_2006_51.pdf 
_version_ 
1783725687658512384 