Multi-objective genetic algorithm fractional-order PID controller for semi-active magnetorheologically damped seat suspension

Gad, Salma N; Metered, H.; Bassuiny, A.; Ghany, AM Abdel

doi:10.1177/1077546315591620

Cited by 73 publications

(47 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MR and ER semi active suspensions are the most popular dampers being used recently because they work effectively to provide a quick response for energy dissipation level in the low-mid frequency range. However, a poor performance can be generated in the high frequency rang due to the specific dynamic range of the ER and MR fluid [42,43].…”

Section: Type Of Suspension Systemsmentioning

confidence: 99%

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

Al-Ashmori

Wang

2020

Applied Sciences

View full text Add to dashboard Cite

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.

show abstract

Section: Type Of Suspension Systemsmentioning

confidence: 99%

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

Al-Ashmori

Wang

2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…PID stands for proportional, integral, and derivative and is a classical controller used for several control applications (Metered et al 2015;Kesarkar and Selvaganesan 2015;Niu 2014;Gad et al 2017;Tammam et al 2013;Abdelrassoul et al 2016;Chen and Chang 2006). The PID controllers are so designed that continuous attention of the operator is eliminated.…”

Section: Control Theory-pid Controlmentioning

confidence: 99%

“…It was observed that the GA-based optimized PID controller improves the dynamic performance of the active suspension system and improves stability. Gad et al (2017) implemented a fractional order PID controller to a semi-active seat suspension. PID parameters are tuned using multi-objective GA for a seat suspension system using the 6-DoF human body.…”

Section: Introductionmentioning

confidence: 99%

“…It is observed that optimization of PID controller applied to suspension system is carried out in single objective nature (Metered et al 2015;Niu 2014) whereas (Kesarkar and Selvaganesan 2015) presented a multi-modal optimization approach and (Gad et al 2017) presented dual objective function optimization. Kalaivani et al (2014) studied a fuzzy logic-based active quarter car suspension system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GA-based multi-objective optimization of active nonlinear quarter car suspension system—PID and fuzzy logic control

Nagarkar¹,

Bhalerao²,

Patil³

et al. 2018

Int J Mech Mater Eng

View full text Add to dashboard Cite

Background: The primary function of a suspension system is to isolate the vehicle body from road irregularities thus providing the ride comfort and to support the vehicle and provide stability. The suspension system has to perform conflicting requirements; hence, a passive suspension system is replaced by the active suspension system which can supply force to the system. Active suspension supplies energy to respond dynamically and achieve relative motion between body and wheel and thus improves the performance of suspension system. Methods: This study presents modelling and control optimization of a nonlinear quarter car suspension system. A mathematical model of nonlinear quarter car is developed and simulated for control and optimization in Matlab/ Simulink® environment. Class C road is selected as input road condition with the vehicle traveling at 80 kmph. Active control of the suspension system is achieved using FLC and PID control actions. Instead of guessing and or trial and error method, genetic algorithm (GA)-based optimization algorithm is implemented to tune PID parameters and FLC membership functions' range and scaling factors. The optimization function is modeled as a multi-objective problem comprising of frequency weighted RMS seat acceleration, Vibration dose value (VDV), RMS suspension space, and RMS tyre deflection. ISO 2631-1 standard is adopted to assess the ride and health criterion. Results: The nonlinear quarter model along with the controller is modeled and simulated and optimized in a Matlab/Simulink environment. It is observed that GA-optimized FLC gives better control as compared to PID and passive suspension system. Further simulations are validated on suspension system with seat and human model. Parameters under observation are frequency-weighted RMS head acceleration, VDV at the head, crest factor, and amplitude ratios at the head and upper torso (AR_h and AR_ut). Simulation results are presented in time and frequency domain. Conclusion: Simulation results show that GA-based FLC and PID controller gives better ride comfort and health criterion by reducing RMS head acceleration, VDV at the head, CF, and AR_h and AR_ut over passive suspension system.

show abstract

“…There are resources dealing with semiactive related fractional order control, i.e. for active passenger seat control design [16], for a semi-active suspension [17], as well as smart-based isolated structures [18]. Not addressing skyhook control principles, the nature of the aforementioned material is very different to the work presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

New insights from fractional order skyhook damping control for railway vehicles

Zolotas

Goodall

2018

Vehicle System Dynamics

View full text Add to dashboard Cite

Active suspensions for railway vehicles have been a topic of research for a number of decades and while their applications in service operation are limited it seems clear that they will in due course see widespread adoption. Railway suspension design is a problem of compromise on the non-trivial trade-off of ride quality vs track following (guidance), and the skyhook damping control approach has been paramount in illustrating the potential benefits. Since skyhook damping control, various advanced control studies appeared contributing to redefine the boundaries of the aforementioned trade-off. Yet there is no study on the impact of fractional order methods in the context of skyhook railway active suspensions, and in particular related to skyhook damping control. This is the area to which this paper strongly contributes.We present findings from a current project on fractional order controllers for railway vehicles active suspensions, in particular work on the effect of fractional order methods in basic skyhook damping control schemes, i.e. pure and intuitively-based skyhook. Firstly we present a brief review of conventional skyhook damping control and then proceed to a rigorous investigation of the impact of fractional order on the ride quality / track following trade-off. The relevant benefits from fractional order methods are appraised and new insights highlighted.

show abstract

Multi-objective genetic algorithm fractional-order PID controller for semi-active magnetorheologically damped seat suspension

Cited by 73 publications

References 45 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

GA-based multi-objective optimization of active nonlinear quarter car suspension system—PID and fuzzy logic control

New insights from fractional order skyhook damping control for railway vehicles

Contact Info

Product

Resources

About