Design of Virtual Reference Feedforward Controller for an Active Suspension System

Jeong, Yonghwan; Sohn, Youngil; Chang, Sehyun; Yim, Seongjin

doi:10.1109/access.2022.3184417

Cited by 5 publications

(9 citation statements)

References 52 publications

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“…If springs and dampers in the full-car model are nonlinear, the SSE cannot be derived. As a consequence, LQOC, (30), cannot be applied to design the LQSOF, LQSSOF and LQLSOF controllers.…”

Section: Design Of Sof Controller With Slommentioning

confidence: 99%

“…To design three SOF controllers for nonlinear systems, a simulation optimization (SLOM) is applied in this paper [17,30]. Simulation optimization is a method to find an optimum solution through simulation on a target system [44,45].…”

Section: Design Of Sof Controller With Slommentioning

confidence: 99%

“…SLOM uses the Simulink model with nonlinear springs and dampers and a cost function defined for improving ride comfort and reducing motion sickness. The Simulink model is built from the full-car model, and the cost function is evaluated from the results of the Simulink model and optimized by a heuristic optimization method (HOM) [17,30]. As a HOM for optimization, the covariance matrix adaptation evolution strategy (CMA-ES) is selected in this paper [31].…”

Section: Introductionmentioning

confidence: 99%

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Design of Static Output Feedback Suspension Controllers for Ride Comfort Improvement and Motion Sickness Reduction

Kim,

Yim

2024

Processes

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This paper presents a method to design a static output feedback active suspension controller for ride comfort improvement and motion sickness reduction in a real vehicle system. Full-state feedback controller has shown good performance for active suspension control. However, it requires a lot of states to be measured, which is very difficult in real vehicles. To avoid this problem, a static output feedback (SOF) controller is adopted in this paper. This controller requires only three sensor outputs, vertical velocity, roll and pitch rates, which are relatively easy to measure in real vehicles. Three types of SOF controller are proposed and optimized with linear quadratic optimal control and the simulation optimization method. Two of these controllers have only three gains to be tuned, which are much smaller than those of full-state feedback. To validate the performance of the proposed SOF controllers, a simulation is carried out on a vehicle simulation package. From the results, the proposed SOF controllers are quite good at improving ride comfort and reducing motion sickness.

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“…If springs and dampers in the full-car model are nonlinear, the SSE cannot be derived. As a consequence, LQOC, (30), cannot be applied to design the LQSOF, LQSSOF and LQLSOF controllers.…”

Section: Design Of Sof Controller With Slommentioning

confidence: 99%

Section: Design Of Sof Controller With Slommentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of Static Output Feedback Suspension Controllers for Ride Comfort Improvement and Motion Sickness Reduction

Kim,

Yim

2024

Processes

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“…If there is a nonlinear element in a vehicle model, LQOC cannot be applied to controller design. Instead of LQOC, the second method uses a simulation-based optimization method (SBOM) [16][17][18]. In an SBOM, a vehicle model with nonlinear elements is built in MATLAB/Simulink.…”

Section: Introductionmentioning

confidence: 99%

“…In an SBOM, a vehicle model with nonlinear elements is built in MATLAB/Simulink. From a simulation with the model over a period, several variables can be obtained and used to evaluate an objective function [18]. Both methods formulate the SOF controller design as an optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Design of Active Suspension Controller for Ride Comfort Enhancement and Motion Sickness Mitigation

Jeong,

Yim

2024

Machines

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This paper presents a method for designing an active suspension controller for ride comfort enhancement and motion sickness mitigation. For this, it is necessary to design an active suspension controller, which aims to reduce the vertical acceleration and pitch rate of a sprung mass in a vehicle. A half-car vehicle model was selected. For the controller design, a static output feedback (SOF) control was selected instead of a full-state feedback control because it is hard to measure all state variables in real vehicles. With the available signals, three types of SOF controller were proposed. To determine the gains of the SOF controllers, a linear quadratic optimal control methodology and a simulation-based optimization method were adopted. To validate the proposed method, a simulation was carried out using vehicle simulation software. The simulation results show that the proposed method is quite effective for ride comfort enhancement and motion sickness mitigation.

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Modelling and simulation of suspension system based on topological structure

Ren,

Zhang,

Hao

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part D:

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The traditional approach of longitudinal cutting in suspension system simplification introduces redundant degrees of freedom, leading to increased system errors. This study focused on a seven degrees of freedom (7DOF) car model and constructed a suspension system topology model based on an across-cutting approach. To emulate road surface excitation, the filtered white noise method was employed. MATLAB/Simulink was used to create simulation models for the across-cutting, traditional longitudinal cutting and the whole car structure. Comparative analysis of these three topologies was conducted in both the time and frequency domains. Simulation results demonstrated that the performance curve of the across-cutting simplified suspension system closely matched that of the whole car model, validating the accuracy of the proposed across-cutting topology. Furthermore, when compared to traditional longitudinal cutting, the across-cutting simplification method reduced the natural frequency error of body pitch vibration by 25% and decreased the root mean square error of body acceleration by 27%. The suspension topology based on across-cutting more closely resembled the actual car structure, offering a theoretical foundation for enhancing overall ride comfort in automobiles.

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Design of Virtual Reference Feedforward Controller for an Active Suspension System

Cited by 5 publications

References 52 publications

Design of Static Output Feedback Suspension Controllers for Ride Comfort Improvement and Motion Sickness Reduction

Design of Static Output Feedback Suspension Controllers for Ride Comfort Improvement and Motion Sickness Reduction

Design of Active Suspension Controller for Ride Comfort Enhancement and Motion Sickness Mitigation

Modelling and simulation of suspension system based on topological structure

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