Linear and Nonlinear Analysis of Ride and Stability of a Three-Wheeled Vehicle Subjected to Random and Bump Inputs Using Bond Graph and Simulink Methodology

Bond graph framework, established with MATLAB/Simulink, has a dual objective: analyze the system using bond graph and develop the system equations in symbolic form. This approach is a combination of the simulation skill of the MATLAB/Simulink and the modelling skill of the bond graph. In this analys...

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Published inSAE International journal of commercial vehicles Vol. 15; no. 1; pp. 65 - 79
Main Authors Sharma, Rakesh Chandmal, Sharma, Sakshi, Sharma, Neeraj, Sharma, Sunil Kumar
Format Journal Article
LanguageEnglish
Published Warrendale SAE International 01.01.2022
SAE International, a Pennsylvania Not-for Profit
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ISSN1946-391X
1946-3928
DOI10.4271/02-15-01-0001

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Abstract Bond graph framework, established with MATLAB/Simulink, has a dual objective: analyze the system using bond graph and develop the system equations in symbolic form. This approach is a combination of the simulation skill of the MATLAB/Simulink and the modelling skill of the bond graph. In this analysis, a nine-degrees-of-freedom (9 DoF) three-wheeled vehicle model integrated with a 5 DoF human subject model is formulated using bond graph methodology and simulated using the Simulink toolbox. The present work is divided into two linear and nonlinear analyses of the dynamic behavior of sprung mass subjected to random and bumps inputs, respectively. The linear analysis evaluates the ride comfort of the vehicle and human subject model under the International Organization for Standardization (ISO) and ISO-2631-1 criterion, and the stability of the vehicle is evaluated through on eigenvalues obtained from a single-order state-space form of differential equations obtained from the Simulink toolbox. The nonlinear analysis excludes the human biodynamic model and evaluates the sprung mass bounce acceleration and displacement response and pitch acceleration response under bump inputs. From the linear analysis, vehicle ride is found to be in the “very uncomfortable” range, and above 74 km/h vehicle is found to be unstable. The nonlinear analysis suggests that a semi-active magnetorheological (MR) damper with a fuzzy logic control policy is superior compared to a conventional passive suspension when the vehicle is subjected to bump inputs. The present work is validated with a comparison between the vehicle sprung mass center vertical-lateral power spectral density (PSD) acceleration response simulated through the Simulink software tool and the same received from field tests.
AbstractList Bond graph framework, established with MATLAB/Simulink, has a dual objective: analyze the system using bond graph and develop the system equations in symbolic form. This approach is a combination of the simulation skill of the MATLAB/Simulink and the modelling skill of the bond graph. In this analysis, a nine-degrees-of-freedom (9 DoF) three-wheeled vehicle model integrated with a 5 DoF human subject model is formulated using bond graph methodology and simulated using the Simulink toolbox. The present work is divided into two linear and nonlinear analyses of the dynamic behavior of sprung mass subjected to random and bumps inputs, respectively. The linear analysis evaluates the ride comfort of the vehicle and human subject model under the International Organization for Standardization (ISO) and ISO-2631-1 criterion, and the stability of the vehicle is evaluated through on eigenvalues obtained from a single-order state-space form of differential equations obtained from the Simulink toolbox. The nonlinear analysis excludes the human biodynamic model and evaluates the sprung mass bounce acceleration and displacement response and pitch acceleration response under bump inputs. From the linear analysis, vehicle ride is found to be in the “very uncomfortable” range, and above 74 km/h vehicle is found to be unstable. The nonlinear analysis suggests that a semi-active magnetorheological (MR) damper with a fuzzy logic control policy is superior compared to a conventional passive suspension when the vehicle is subjected to bump inputs. The present work is validated with a comparison between the vehicle sprung mass center vertical-lateral power spectral density (PSD) acceleration response simulated through the Simulink software tool and the same received from field tests.
Bond graph framework, established with MATLAB/Simulink, has a dual objective: analyze the system using bond graph and develop the system equations in symbolic form. This approach is a combination of the simulation skill of the MATLAB/Simulink and the modelling skill of the bond graph. In this analysis, a nine-degrees-of-freedom (9 DoF) three-wheeled vehicle model integrated with a 5 DoF human subject model is formulated using bond graph methodology and simulated using the Simulink toolbox. The present work is divided into two linear and nonlinear analyses of the dynamic behavior of sprung mass subjected to random and bumps inputs, respectively. The linear analysis evaluates the ride comfort of the vehicle and human subject model under the International Organization for Standardization (ISO) and ISO-2631-1 criterion, and the stability of the vehicle is evaluated through on eigenvalues obtained from a single-order state-space form of differential equations obtained from the Simulink toolbox. The nonlinear analysis excludes the human biodynamic model and evaluates the sprung mass bounce acceleration and displacement response and pitch acceleration response under bump inputs. From the linear analysis, vehicle ride is found to be in the "very uncomfortable" range, and above 74 km/h vehicle is found to be unstable. The nonlinear analysis suggests that a semi-active magnetorheological (MR) damper with a fuzzy logic control policy is superior compared to a conventional passive suspension when the vehicle is subjected to bump inputs. The present work is validated with a comparison between the vehicle sprung mass center vertical-lateral power spectral density (PSD) acceleration response simulated through the Simulink software tool and the same received from field tests. Keywords Bond graph, Human biodynamic model, Bump road surface inputs, Fuzzy logic control
ArticleNumber 02-15-01-0001
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Author Sharma, Sakshi
Sharma, Neeraj
Sharma, Sunil Kumar
Sharma, Rakesh Chandmal
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SubjectTerms Analysis
Bond graph
Bonds
Bump road surface inputs
Degrees of freedom
Differential equations
Eigenvalues
Field tests
Fuzzy logic
Fuzzy logic control
Human biodynamic model
Human subjects
Linear analysis
Matlab
Methods
Nonlinear analysis
Passenger comfort
Power spectral density
Semiactive damping
Software
Stability
Title Linear and Nonlinear Analysis of Ride and Stability of a Three-Wheeled Vehicle Subjected to Random and Bump Inputs Using Bond Graph and Simulink Methodology
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