Simulation of PID and fuzzy logic controller for integrated seat suspension of a quarter car with driver model for different road profiles

Rajendiran, S.; Lakshmi, P.

doi:10.1007/s12206-016-0927-6

Cited by 36 publications

(17 citation statements)

References 13 publications

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“…quarter car model having 2-DoF, a half car model having 4-DoF, and full car model. In this study, a 2-DoF quarter-car model is implemented for ride and control applications (Metered et al 2015;Kalaivani et al 2014;Taskin et al 2017;Huang and Chao (2000); Salem and Aly 2009;Rajendiran and Lakshmi 2016).…”

Section: Methodsmentioning

confidence: 99%

“…FLC and PID controller are studied and observed that FLC performs better compared to the PID controller. Rajendiran and Lakshmi (2016) analyzed active control of 2-DoF suspension system using PID control and FLC along with seat and driver model. It was observed that FLC improves ride comfort than that of PID control and passive system.…”

Section: Introductionmentioning

confidence: 99%

“…Results were obtained in the frequency domain which shows improved ride comfort. From above discussions, it is observed that researchers (Taskin et al 2017;Huang and Chao 2000;Salem and Aly 2009;Rajendiran and Lakshmi 2016) have successfully implemented the FLC for ride control applications, whereas (Kalaivani et al 2014) optimized FLC using a single optimization function. Talib and Darus (2014) implemented a semi-active suspension system using FLC and PID controllers.…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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

show abstract

“…In the last few decades, the majority of studies have been developed to integrate the seat suspension with the vehicle suspension to provide high performance in the ride comfort since design strategies of control force can be implemented in both the seat and vehicle suspensions taking into the account the road disturbance that can be applied direct to the vehicle wheels rather than to the cabin floor [60,61]. Additionally, the seat suspension system normally integrated with the vehicle model can be evaluated for the seat performance considering different features such the tire deflection and suspension stroke [62]. There are three types of vehicle suspension model, namely: full, half and quarter vehicle suspension models.…”

Section: Integrated Active Seat Suspension With Vehicle Suspensionmentioning

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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“…Complex behaviours occur in the system's response including the transitions among the multiple motion patterns [1], chaotic phenomena [2] and bifurcation Phenomenon, such as phenomenological [3]. Under the action of fast vibration friction properties change.…”

Section: Introductionmentioning

confidence: 99%

Application to nonlinear mechanical systems with dry friction: hard bifurcation in SD oscillator

2019

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The stochastic model approach of a nonlinear non-smooth dynamical system with the probable occurrence of stochastic P-bifurcations is devoted. The response probability density functions (PDF) for the stationary measure of a smooth and discontinuous oscillator under moving loads belt frictions is constructed. The appearance of abrupt changes and unpredictable events illustrate the complexity of the system. The stationary measure varies continuously with system's parameters and describes various kinds of catastrophic events. In light of these facts, the behaviour of the "stochastic attractors" is examined through the stationary solution of the PDF. According to Zeeman, in the phenomenological approach in the presence of noise, "a change in character of the density function as a parameter is varied is known as p-bifurcation". Numerous new events unique to non-smooth systems are observed under slight variation of system's parameters. Discontinuous bifurcations are defined as the "hard bifurcations" that were the subject of Catastrophe theory. Peaks numbers increase as coefficient of friction µ (or smoothness parameter α) increases. Numerical simulations are presented that provide insights into the dynamics of these oscillators.

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Simulation of PID and fuzzy logic controller for integrated seat suspension of a quarter car with driver model for different road profiles

Cited by 36 publications

References 13 publications

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

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

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

Application to nonlinear mechanical systems with dry friction: hard bifurcation in SD oscillator

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