Multi-objective control for active vehicle suspension with wheelbase preview

In this paper, the output-feedback control problem of a vehicle active seat-suspension system is investigated. A novel optimal design approach for an output-feedback H ∞ controller is proposed. The main objective of the controller is to minimize the seat vertical acceleration to improve vehicle ride comfort. First, the human body and the seat are considered in the modeling of a vehicle active suspension system, which makes the model more precise. Other constraints, such as tire deflection, suspension deflection and actuator saturation, are also considered. Then the output-feedback control strategy is adopted since some state variables, such as body acceleration and body deflection, are unavailable. A concise and effective approach for an output-feedback H ∞ optimal control is presented. The desired controller is obtained by solving the corresponding linear matrix inequalities (LMIs) and by the calculation of equations proposed in this paper. Finally, a numerical example is presented to show the effectiveness and advantages of the proposed controller design approach.

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“…Table lists the parameters of the model that are used in the simulations. The parameter of the controller design is chosen as r = 0.005 .…”

Section: Simulation Resultsmentioning

confidence: 99%

Novel Optimal Design Approach for Output‐Feedback H_∞ Control of Vehicle Active Seat‐Suspension System

Wei

Cai

Zhang

et al. 2018

Asian Journal of Control

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“…In general, the preview controller can guarantee a good performance in terms of vertical vibration attenuation. However, it is quite costly, as it consumes energy and takes longer time to preview the road as well as requires more sensors to predict the road condition [87].…”

Section: Preview Controllermentioning

confidence: 99%

A Systematic Literature Review of Various Control Techniques for Active Seat Suspension Systems

Al-Ashmori

Wang

2020

Applied Sciences

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Drivers of heavy trucks are exposed to large amounts of vibration which can lead to serious health risks. Many suspension systems/methods can be used to isolate these transmitted vibrations, such as vehicle suspension systems, cabin suspension systems and seating suspension systems. The central idea of the work is to identify the research gaps and raise our future research questions in this specific area. The novelty of this paper is proposing a model predictive controller for active vibration control of seating suspension systems. A systematic literature review of the existing work of the vibration control of seating suspension systems has been conducted. Various control techniques that are used in the seating suspension systems have been summarized and evaluated. This paper focusses on the biodynamic model of the driver and seat for the first step needed in the design of the seating suspension system. Then, it illustrates the different types of the system vibration controls and their performance evaluation methods. At the end, the paper details several active seating suspension systems including their actuation system structures and control algorithms which are used in the heavy vehicle trucks.

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“…Kong et al [17] designed an H ∞ -static output feedback controller (SOFC) based on particle swarm optimization (PSO) and differential evolution (DE) algorithms. Li et al [18] applied multiobjective control to synthesize an H ∞ /H 2 SOFC, whereas Suzuki et al [19] reported a robust H 2 control to improve comfort and stability. Wang et al [20] tested a SOFC based on variable substitution as an optimization algorithm to relax restriction during calculation of a feasible gain matrix.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Rejection in a One‐Half Semiactive Vehicle Suspension by means of a Fuzzy-H_∞ Controller

Félix-Herrán

Mehdi

Rodríguez-Ortiz

et al. 2019

Shock and Vibration

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A fuzzy-H ∞ control, improved with weighting functions, has been designed and applied to a novel model of a one-half semiactive lateral vehicle (OHSLV) suspension. e herein contribution resides in the development and computation of an H ∞ controller with parallel distributed compensation (PDC) designed from a highly nonlinear system modelled via the Takagi-Sugeno (T-S) fuzzy approach. A fuzzy-H ∞ controller is synthesized for an OHSLV T-S fuzzy model of a suspension with two magnetorheological (MR) dampers including actuators' nonlinear dynamics. e realism of results has been improved by considering the MR damper's behaviours (viscoplasticity, hysteresis, and saturation) and the handling of the phase angle of the sinusoidal disturbance, not included in other reported work. Time-domain tests remark transient time achievements, whereas precise performance criterion indices in the frequency domain are employed to assess the generated outcomes. e proposed solution complies with all performance criteria compared with a benchmark passive average suspension that fails in satisfying most of the performance criteria.

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Multi-objective control for active vehicle suspension with wheelbase preview

Cited by 106 publications

References 33 publications

Novel Optimal Design Approach for Output‐Feedback H_∞ Control of Vehicle Active Seat‐Suspension System

Novel Optimal Design Approach for Output‐Feedback H_∞ Control of Vehicle Active Seat‐Suspension System

A Systematic Literature Review of Various Control Techniques for Active Seat Suspension Systems

Disturbance Rejection in a One‐Half Semiactive Vehicle Suspension by means of a Fuzzy-H_∞ Controller

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Multi-objective control for active vehicle suspension with wheelbase preview

Cited by 106 publications

References 33 publications

Novel Optimal Design Approach for Output‐Feedback H∞ Control of Vehicle Active Seat‐Suspension System

Novel Optimal Design Approach for Output‐Feedback H∞ Control of Vehicle Active Seat‐Suspension System

A Systematic Literature Review of Various Control Techniques for Active Seat Suspension Systems

Disturbance Rejection in a One‐Half Semiactive Vehicle Suspension by means of a Fuzzy-H∞ Controller

Contact Info

Product

Resources

About

Novel Optimal Design Approach for Output‐Feedback H_∞ Control of Vehicle Active Seat‐Suspension System

Novel Optimal Design Approach for Output‐Feedback H_∞ Control of Vehicle Active Seat‐Suspension System

Disturbance Rejection in a One‐Half Semiactive Vehicle Suspension by means of a Fuzzy-H_∞ Controller