Vehicle suspension force and road profile prediction on undulating roads

Hamersma, Herman; Schalk, P.

doi:10.1080/00423114.2020.1774067

Cited by 16 publications

(8 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we herein present the modeling work associated with the rover design (similar to Refs. [ 7 , 8 ]), the details of which we have omitted since they are straightforward.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains

et al. 2023

View full text Add to dashboard Cite

Adjusting the roll angle of a rover’s body is a commonly used strategy to improve its traversability over sloped terrains. However, its range of adjustment is often limited, due to constraints imposed by the rover design and geometry factors such as suspension, chassis, size, and suspension travel. In order to improve the rover’s traversability under these constraints, this paper proposes a reconfigurable rover design with a two-level (sliding and rolling) mechanism to adjust the body’s roll angle. Specifically, the rolling mechanism is a bionic structure, akin to the human ankle joint which can change the contact pose between the wheel and the terrain. This novel adjustment mechanism can modulate the wheel–terrain contact pose, center-of-mass projection over the supporting polygon, wheel load, and the rover driving mode. Combining the wheel–load model and terramechanics-based wheel–terrain interaction model, we develop an integrated model to describe the system dynamics, especially the relationship between rover pose and wheel slippage parameters. Using this model, we develop an associated attitude control strategy to calculate the desired rover pose using particle swarm algorithm while considering the slip rate and angle constraints. We then adjust the sliding and rolling servo angles accordingly for slope traversing operations. To evaluate the proposed design and control strategies, we conduct extensive simulation and experimental studies. The results indicate that our proposed rover design and associated control strategy can double the maximum slope angles that the rover can negotiate, resulting in significantly improved traversability over soft sloped terrains.

show abstract

“…Furthermore, we herein present the modeling work associated with the rover design (similar to Refs. [ 7 , 8 ]), the details of which we have omitted since they are straightforward.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The models used to describe tire dynamics include the fixed imprint model and the finite element model [30]. If factors such as temperature, pressure, and velocity are taken into account, the tire deformation model becomes nonlinear.…”

Section: Tire Deformation Modelmentioning

confidence: 99%

Design and Verification of a Novel Energy Harvester for Tire Pressure Monitoring Systems

2023

View full text Add to dashboard Cite

With the development of intelligent tires, the tire pressure monitoring system (TPMS) has become a standard safety feature in cars. However, the existing TPMS has limited ability to monitor tire pressure in real time due to the passive power supply device’s low power output. This work presents a conceptual design for a novel energy harvester for TPMS (NEH-TPMS) based on a mechanical structure to recover energy. The motion of the mechanical structure is driven by the deformation of the tire in contact with the ground. The energy is recovered and released by a spiral spring to accomplish the functions of power generation and charging. Mathematical models are created based on the NEH-TPMS’s movements. The simulation results indicate that the NEH-TPMS’s power generation capacity is greater than that of existing energy harvesters and can satisfy the TPMS’s power supply requirements. This work uses finite element analysis and hierarchical analysis to optimize the shape of the NEH-TPMS. The parameters of the spiral spring are optimized using simulated annealing and genetic algorithms. NEH-TPMS has been enhanced to provide greater energy storage capacity. Finally, a prototype was built to verify the structure’s feasibility. The experimental results are consistent with the simulated results. This NEH-TPMS offers an efficient means of enhancing the power generation efficiency of the passive power supply device for TPMS.

show abstract

“…operate vehicles in optimal conditions, researchers continuously work on improving, testing, and fine-tuning various aspects of vehicles, including tires and suspension systems. The aim is to identify the most effective solutions for addressing vibration issues (Hamersma et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of vehicle magnetorheological semi-active air suspension based on S-QFSMC control

Li,

Gan,

Liu

et al. 2024

Front. Mater.

View full text Add to dashboard Cite

The performance of the suspension is a crucial criterion for evaluating both vehicle handling and passenger comfort. To enhance suspension performance, this study proposes the design of a Quantum Genetic Fuzzy Sliding Mode Controller (S-QFSMC) based on the Smith predictor estimator, building upon the foundation of the vehicle magneto-rheological semi-active air suspension. According to the physical model of the vehicle suspension, a mechanical model of a quarter-vehicle magneto-rheological semi-active air suspension with time delay is established. On this basis, a conventional sliding mode controller is designed, and quantum genetic algorithm and fuzzy control principles are employed to optimize the chattering issue associated with sliding mode control. The Smith predictor estimator is utilized to effectively compensate for the time delay in the suspension system. Subsequently, a simulation analysis of the vehicle suspension performance is conducted. The results indicate that, compared to passive suspension control, both the QFSMC controller and the S-QFSMC controller improve the suspension performance, with the S-QFSMC controller exhibiting superior comprehensive improvement. This validates the effectiveness of the designed controllers.

show abstract

Vehicle suspension force and road profile prediction on undulating roads

Cited by 16 publications

References 30 publications

Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains

Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains

Design and Verification of a Novel Energy Harvester for Tire Pressure Monitoring Systems

Performance analysis of vehicle magnetorheological semi-active air suspension based on S-QFSMC control

Contact Info

Product

Resources

About