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		<doi>10.4025/actascitechnol.v39i1.29385</doi>
		<issn>1806-2563</issn>
		<citationkey>CaldeiraCarvCost:2017:EsTrVe</citationkey>
		<title>Estimation of tracked vehicle suspension parameters</title>
		<year>2017</year>
		<month>jan./mar.</month>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
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		<author>Caldeira, Aldélio Bueno,</author>
		<author>Carvalho, Michelle Soraia de,</author>
		<author>Costa Neto, Ricardo Teixeira da,</author>
		<group></group>
		<group>PCP-ETES-SESPG-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Militar de Engenharia (IME)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Militar de Engenharia (IME)</affiliation>
		<electronicmailaddress>aldelio@ime.eb.br</electronicmailaddress>
		<journal>Acta Scientiarum - Technology</journal>
		<volume>39</volume>
		<number>1</number>
		<pages>51-57</pages>
		<secondarymark>A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_GEOGRAFIA B1_INTERDISCIPLINAR B1_ENGENHARIAS_III B1_ENGENHARIAS_I B1_CIÊNCIAS_AMBIENTAIS B1_CIÊNCIAS_AGRÁRIAS_I B1_ARQUITETURA_E_URBANISMO B2_ZOOTECNIA_/_RECURSOS_PESQUEIROS B2_MEDICINA_VETERINÁRIA B2_MATERIAIS B2_HISTÓRIA B2_ENGENHARIAS_II B2_BIODIVERSIDADE B3_SAÚDE_COLETIVA B3_ODONTOLOGIA B3_LETRAS_/_LINGUÍSTICA B3_GEOCIÊNCIAS B3_FARMÁCIA B3_EDUCAÇÃO B3_CIÊNCIA_DE_ALIMENTOS B4_SOCIOLOGIA B4_MEDICINA_II B4_MEDICINA_I B4_FILOSOFIA/TEOLOGIA:subcomissão_FILOSOFIA B4_BIOTECNOLOGIA B5_QUÍMICA B5_CIÊNCIAS_BIOLÓGICAS_III B5_CIÊNCIAS_BIOLÓGICAS_II B5_CIÊNCIAS_BIOLÓGICAS_I C_ASTRONOMIA_/_FÍSICA</secondarymark>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<versiontype>publisher</versiontype>
		<keywords>vehicle suspension, inverse problem, R2W, PSO.</keywords>
		<abstract>This work aims to estimate the suspension stiffness and damping coefficient of a tracked vehicle by using an inverse problem technique based on Particle Swarm Optimization ( PSO) and on Random Restricted Window (R2W). The tracked vehicle has ten road wheels. Each road wheel is linked to a passive and independent suspension. A half car model with seven degrees of freedom describes the bounce and pitch dynamics of the chassis and the vertical dynamics of the wheels. Bounce and pitch accelerations are evaluated when the vehicle traverses a bump terrain. The inverse problem approach minimizes the total quadratic error between estimated and pseudo-experimental data for bounce and pitch accelerations. The viability of a field experiment to estimate the suspension parameters is analyzed, as well as the performance of the employed optimization methods and the effects of the noise on pseudo-experimental data.</abstract>
		<area>COMB</area>
		<language>en</language>
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