Self-tuning PID controller for active suspension system with hydraulic actuator

Talib, Mat Hussin Ab; Darns, Intan Zaurah Mat

doi:10.1109/isci.2013.6612381

Cited by 31 publications

(19 citation statements)

References 5 publications

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“…controllers are a popular simple classical type of controllers used in a large number of industrial applications (Chen, Yuan, Yuan, Huang, Li, & Li, 2015;Diba, Arora, & Esmailzadeh, 2014;Gopi Krishna Rao, Subramanyam, & Satyaprasad, 2014;Quevedo & Escobet, 2000;Rocco, 1996) including some simple quarter-car suspension systems (Hanafi, 2010;Popovic, Jankovic, & Vasic, 2000;Talib & Darns, 2013). It is of no surprise that it also forms the simplest conventional controller for the tilting active control application, as it offers both the integral action required to force zero effective cant deficiency on steady-curve and the proportional/derivative action to limit phase lag at higher frequencies (compared to the crossover frequency).…”

Section: Pid Tilt Control Enhancement Via Controller Optimizationmentioning

confidence: 99%

Optimised PID control for tilting trains

Hassan

Zolotas

Margetts

2017

Systems Science & Control Engineering

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Nulling-type tilt control in tilting railway vehicles, i.e. Single-Input-Single-Output (SISO) control using non-precedent sensor information for lateral acceleration and tilt angle, suffers from performance limitations due to the system's non-minimum phase characteristics . Advanced control strategies for tilting railway vehicles. UKACC international conference on control, University of Cambridge, Cambridge, UK. 6p., ISBN: 0-85296-240-1.]. From an engineering point of view, this is due to the suspension's dynamic interactions and the sensor information used for feedback control. This paper revisits SISO PID-based nulling-type tilt control design (hereby referred to as 'economical tilt control') and rigorously studies its design via optimization to improve system performance. The strong coupling between the roll and lateral dynamic modes of the vehicle body is shown and the performance limitations using conventional control highlighted. PID controllers are designed to illustrate different levels of tilt performance regarding the deterministic (curving acceleration response) and stochastic (ride quality) with the latter being a bounded constraint. With novel contribution to use of PID control in the tilt control application with rational transfer functions, particular emphasis is placed on the practical aspects of the tilt dynamics within the design framework via detailed simulation results. ARTICLE HISTORY

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Section: Pid Tilt Control Enhancement Via Controller Optimizationmentioning

confidence: 99%

Optimised PID control for tilting trains

Hassan

Zolotas

Margetts

2017

Systems Science & Control Engineering

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“…The design of the PID controller will provide a stabilization for the system and a suitable system performance [31]. The equation of the PID controller is implemented as:…”

Section: B the Optimization Of Parameters Of Pid Controller Using Abmentioning

confidence: 99%

Fuzzy Sliding Mode Control Scheme for Vehicle Active Suspension System Optimized by ABC Algorithm

Abdulzahra¹,

Abdalla²

2019

IJISA

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This paper suggests a proposed control scheme of fuzzy sliding mode and PID controller tuned with Artificial bee colony (ABC) algorithm to control vehicle suspension system. Suspension systems are utilized to provide vehicles safety and improve comfortable driving. The effects of the road roughness transmitted by the tires to the vehicle body can be reduced by using suspension systems. Fuzzy system is used for estimating the unknown parameters and uncertainty in the suspension system components (spring, damper and actuator). This study combines sliding mode with fuzzy strategy to design a robust control method. The ABC technique is used to optimize the controller parameters. The suggested control scheme endeavors to limit the vibration of the vehicle body by creating a suitable force for the suspension systems when passing on disturbance. Passive and active suspension systems are compared to test efficiency and ability of the proposed control scheme to enhance the safety and comfortable driving for different road profiles.

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“…During the past three decades, so many control strategy techniques are suggested and tested by absorbing the shocks due to a rough and bumpy road in case of VS system. Time-discrete and switching PID control strategy is implemented in VS problems with variable control gains based on the measured suspension variables [6,7]. However, the optimal gain parameter setting, a lesser range of robust control and need of change of gain setting with varying conditions are the major limitations to limit the real time application of these controllers.…”

Section: Introductionmentioning

confidence: 99%

Backstepping LQG controller design for stabilizing and trajectory tracking of vehicle suspension system

Patra

2020

SN Appl. Sci.

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The aim of this paper is to design a backstepping linear quadratic Gaussian controller (BLQGC) for a vehicle suspension (VS) system to improve the ride comfort by absorbing the shocks due to a rough and uneven road. For designing of the BLQGC, a forth order linearized model of the VS system is considered. In this control strategy, the conventional linear quadratic regulator is re-formulated with a state estimator based on the backstepping control approach to improve the control performance. The validation of improved control performance of BLQGC is established by comparative result investigation with other published control algorithms. The comparative results clearly reveal the better performance of the proposed approach to control the oscillation of the VS system within a stable range in terms of accuracy, robustness and handling uncertainties.

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Self-tuning PID controller for active suspension system with hydraulic actuator

Cited by 31 publications

References 5 publications

Optimised PID control for tilting trains

Optimised PID control for tilting trains

Fuzzy Sliding Mode Control Scheme for Vehicle Active Suspension System Optimized by ABC Algorithm

Backstepping LQG controller design for stabilizing and trajectory tracking of vehicle suspension system

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