The Control of an Active Seat Suspension Using an Optimised Fuzzy Logic Controller, Based on Preview Information from a Full Vehicle Model

Alfadhli, Abdulaziz; Darling, J; Hillis, Andrew

doi:10.3390/vibration1010003

Cited by 16 publications

(3 citation statements)

References 42 publications

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“…In addition, a preview information was obtained from the wheels, front left suspension and front axle, which was optimized by fuzzy logic controller to cope up with friction and actuator constraints [85]. State feedback of the seat suspension and feedforward of the vehicle suspension based on preview information were implemented in [86].…”

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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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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“…The results showed that this approach significantly reduces the vertical vibration at the driver's seat when compared with a passive system. In addition, in a recent simulation based study by the authors [23], this concept was successfully applied to an active seat in a multi-degree of freedom full vehicle model incorporating the roll and pitch modes.…”

Section: Preview Controlmentioning

confidence: 99%

An Active Seat Controller with Vehicle Suspension Feedforward and Feedback States: An Experimental Study

2018

Self Cite

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Active seat suspensions can be used to reduce the harmful vertical vibration of a vehicle's seat by applying an external force using a closed loop controller. Many of the controllers found in the literature are difficult to implement practically, because they are based on using unavailable or difficult and costly measurements. This paper presents both simulation and experimental studies of five novel, simple, and cost-effective control strategies to be used for an active seat suspension in order to improve ride comfort at low frequencies below 20 Hz. These strategies use available and measurable feedforward (preview) information states from the vehicle secondary suspension, as well as feedback states from the seat suspension, together with gains optimised to minimise the occupant vibration. The gains were optimised using a genetic algorithm (GA), with a fitness function based on the seat effective amplitude transmissibility (SEAT) factor. Constraints on the control force and the seat suspension stroke were also included in the optimisation algorithm. Simulation and laboratory experimental tests were carried out to assess the performance of the proposed controllers according to the ISO 2631-1 standard, in both the frequency and time domains with a range of different road profiles. The experimental tests were performed using a multi-axis simulation table (MAST) and a physical active seat suspension configured as a hardware-in-loop (HIL) simulation with a virtual linear quarter vehicle model (QvM). The results demonstrate that the proposed controllers substantially attenuate the vertical vibration at the driver's seat compared with both a passive and a proportional-integral-derivative (PID) active seat suspension and thus improve ride comfort together with reducing vibration-linked health risks. Moreover, experimental results show that employing both feedforward information and feedback vehicle body and seat acceleration signals in the controller provides isolation performance gains of up to 19.5 dB over the human body sensitivity frequency range and improves the ride comfort in terms of the SEAT factor and the weighted root mean square (RMS) seat acceleration by at least 25% when compared with a passive system, irrespective of vehicle forward speed.

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“…They verified that the proposed algorithm could improve the ride comfort and adhesion ability through the simulation analysis of the suspension system. Alfadhli et al [24] used a PSO optimized fuzzy control algorithm to analyze the active seat suspension system, and the simulation results showed the effectiveness of the control method on ride comfort. Phu et al [25] proposed a new adaptive hybrid controller based on H ∞ , sliding mode control, and PID control to control the magnetorheological seat suspension system.…”

Section: Introductionmentioning

confidence: 99%

Ride comfort investigation of semi-active seat suspension integrated with quarter car model

Chen

Song²,

Zhao³

et al. 2022

Mechanics & Industry

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A method for parameter identification of the magnetorheological damper (MRD) model with an improved firefly algorithm (IFA) is proposed, and a semi-active seat control system with three-degree-of-freedom (3-DOF) is established by combining with a quarter car model to investigate the ride comfort. The dynamic characteristics of the MRD were analyzed by experimental method. Combined with the IFA, the parameters of the MRD phenomenon model were identified, and the forward model of the MR damper was constructed. The semi-active control model of a 3-DOF seat suspension was established. The MRD controller and suspension system controller were designed. The passive control, PID control, and Fuzzy-PID control on the vibration reduction of the semi-active seat suspension were compared and analyzed, under different road excitation. The simulation results show that the semi-active seat suspension controlled by the PID and Fuzzy-PID can effectively reduce the seat acceleration and dynamic stroke, which significantly improve the ride comfort and operation safety compared to the passive seat suspension.

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The Control of an Active Seat Suspension Using an Optimised Fuzzy Logic Controller, Based on Preview Information from a Full Vehicle Model

Cited by 16 publications

References 42 publications

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

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

An Active Seat Controller with Vehicle Suspension Feedforward and Feedback States: An Experimental Study

Ride comfort investigation of semi-active seat suspension integrated with quarter car model

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