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Optimum Design of PIλDμ Controller for an Automatic Voltage Regulator System Using Combinatorial Test Design
- Source :
- PLoS ONE, PLoS ONE, Vol 11, Iss 11, p e0166150 (2016)
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Combinatorial test design is a plan of test that aims to reduce the amount of test cases systematically by choosing a subset of the test cases based on the combination of input variables. The subset covers all possible combinations of a given strength and hence tries to match the effectiveness of the exhaustive set. This mechanism of reduction has been used successfully in software testing research with t-way testing (where t indicates the interaction strength of combinations). Potentially, other systems may exhibit many similarities with this approach. Hence, it could form an emerging application in different areas of research due to its usefulness. To this end, more recently it has been applied in a few research areas successfully. In this paper, we explore the applicability of combinatorial test design technique for Fractional Order (FO), Proportional-Integral-Derivative (PID) parameter design controller, named as FOPID, for an automatic voltage regulator (AVR) system. Throughout the paper, we justify this new application theoretically and practically through simulations. In addition, we report on first experiments indicating its practical use in this field. We design different algorithms and adapted other strategies to cover all the combinations with an optimum and effective test set. Our findings indicate that combinatorial test design can find the combinations that lead to optimum design. Besides this, we also found that by increasing the strength of combination, we can approach to the optimum design in a way that with only 4-way combinatorial set, we can get the effectiveness of an exhaustive test set. This significantly reduced the number of tests needed and thus leads to an approach that optimizes design of parameters quickly.
- Subjects :
- Optimization
Computer and Information Sciences
Mathematical optimization
Arthropoda
Computer science
lcsh:Medicine
Gene Expression
PID controller
Control Systems
02 engineering and technology
Voltage regulator
Research and Analysis Methods
Bioinformatics
Systems Science
Set (abstract data type)
Mathematical and Statistical Techniques
Combinatorial design
Control theory
Genetics
0202 electrical engineering, electronic engineering, information engineering
Animals
lcsh:Science
Transfer Functions
Calculus
Multidisciplinary
Ants
Applied Mathematics
Genetic Algorithms
Simulation and Modeling
lcsh:R
Organisms
Biology and Life Sciences
020207 software engineering
Control Engineering
Invertebrates
Hymenoptera
Insects
Test case
Test set
Physical Sciences
All-pairs testing
Engineering and Technology
lcsh:Q
Fractional Calculus
020201 artificial intelligence & image processing
Mathematical Functions
Mathematics
Algorithms
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....971bed36a9cd81e90155fff862448b22