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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Rajaee Teacher Training University</PublisherName>
				<JournalTitle>Journal of Electrical and Computer Engineering Innovations (JECEI)</JournalTitle>
				<Issn>2322-3952</Issn>
				<Volume>7</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>12</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>WOA-based Interval Type II Fuzzy Fractional-order Controller Design for a Two-Link Robot Arm</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>69</FirstPage>
			<LastPage>82</LastPage>
			<ELocationID EIdType="pii">1173</ELocationID>
			
<ELocationID EIdType="doi">10.22061/jecei.2019.5783.256</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>F.</FirstName>
					<LastName>Jamshidi</LastName>
<Affiliation>Department of Electrical Engineering, Faculty of Engineering, Fasa University, Fasa, Iran</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Vaghefi</LastName>
<Affiliation>Department of Electrical Engineering, Islamic Azad University, Shiraz Branch, Shiraz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>01</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Background and Objectives:&lt;/strong&gt; A robot arm is a multi-input multi-output and non-linear system that has many industrial applications. Parameter uncertainties and external disturbances attenuate the performance of this system and a controller design is hence necessary to overcome them.&lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; In this paper, the interval Type II Fuzzy fractional-order proportional integral differential (IT2FO-FPID) controller is designed to control a robot arm with 2 degrees of freedom (two-link robot arm). Whale optimization algorithm (WOA) is used to determine the optimal value of controller parameters. The performance of IT2FO-FPID is compared with PID, fractional-order PID (FOPID) and Fuzzy FOPID whose parameters are determined by WOA. The performance of IT2FO-FPID whose parameters are determined by WOA, genetic algorithm, and particle swarm optimization methods are compared.&lt;br /&gt;&lt;strong&gt;Results:&lt;/strong&gt; Quantitative and qualitative results of simulations indicate performance improvement with the IT2FO-FPID controller. The ability of WOA in optimizing the parameters of the IT2FO-FPID controller is demonstrated.&lt;br /&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Sensitivity analysis and the study of the effect of parameter variations and disturbances confirm the robust performance of WOA-based IT2FO-FPID.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fractional order proportional integral differential</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Interval type 2 fuzzy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Whale optimization algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Genetic Algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Particle swarm optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jecei.sru.ac.ir/article_1173_fdb41ad79d8977d26e094fb58207b30f.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
