Practical multi-objective controller for preventing noise and vibration in an automobile wiper system

Zolfagharian, Ali; Noshadi, Amin; Zain, Mohd; Bakar, Abdul Rahim Abu

doi:10.1016/j.swevo.2012.08.004

Cited by 15 publications

(10 citation statements)

References 37 publications

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“…For the proposed QF-IS system, the controller GðsÞ and prefilter FðsÞ are given by Eqs. (14) and (15). The ZV input shaper is given in Sec.…”

Section: Resultsmentioning

confidence: 96%

“…Since then, the input shaping technique has been applied to various flexible systems. Recent applications include vibration suppression in marine crane [4], liquid sloshing [5], flexible spacecraft [6], cam follower [7], hard disk drive [8], cherry picker [9], atomic force microscope [10], micromilling machine [11], quadrotor [12], fuel transport system of nuclear power plant [13], and automotive wiper [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Feedback Input Shaping for Flexible-Joint Robot Manipulator

Chatlatanagulchai

Kijdech

Benjalersyarnon

et al. 2016

Journal of Dynamic Systems, Measurement, and Control

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Input shaping technique has been applied to flexible-joint robot to suppress its residual vibration from fast point-to-point movement. Input shaping performance deteriorates when the knowledge of the mode parameters of the robot is not accurate. Several robust input shapers were proposed at the expense of longer move time. A novel input shaping system, consisting of a quantitative feedback controller, a feed-forward reference model, and a simple zero-vibration (ZV) input shaper, is proposed in this paper. Advantages over the existing robust input shapers include toleration of substantially larger amount of uncertainty in the mode parameters, shorter move time that does not increase with insensitivity, application to nonlinear and time-varying systems, and suppression of vibration induced by disturbance and noise.

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“…For the proposed QF-IS system, the controller GðsÞ and prefilter FðsÞ are given by Eqs. (14) and (15). The ZV input shaper is given in Sec.…”

Section: Resultsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Quantitative Feedback Input Shaping for Flexible-Joint Robot Manipulator

Chatlatanagulchai

Kijdech

Benjalersyarnon

et al. 2016

Journal of Dynamic Systems, Measurement, and Control

View full text Add to dashboard Cite

show abstract

“…In order to measure the force distribution exerted [14] on the wiper blade a Force Sensitive Resistor (FSR) sensor was used and the experiment set up as shown in Figure 1. The vibration data obtain is processed by single-board microcontrollers [15](Arduino UNO). The FSR sensor was attached at few selected points as per Figure 2(a) and (b).…”

Section: Experimental Set Upmentioning

confidence: 99%

Dynamic Behaviour and Characteristics of Rubber Blade Car Performance

Mohamad

Othman

Sharif

et al. 2019

IJAME

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High technologies have helped so much in improving an optimizing the engine design and performance of the car. Improved isolation has helped to minimize the engine noise making other automotive part noises become more detectable. One of the noise sources are the wipers. When a wiper operates on a windshield, vibratory phenomena may appear due to flutter instabilities and may generate squeal noise. In order to obtain good wiping behaviour and characteristics, the rubber blade should be in complete contact with the glass and under uniform contact pressure while not generating vibration as it moves over the glass. A good wiping performance can be achieved by a proper design of the wiper structure as well as a good understanding of the mechanical behaviour of the rubber blade. The primary objective of this research is to investigate the dynamic behaviour and characteristics of rubber wiper blade performance in order to reduce the automotive windscreen wiper noise and vibration effects. In order to achieve the objective of this research, two types of wiper is used. One is hybrid type and second is conventional type. Then the behavior of wiper can be investigated. The force resistive sensor is used to measure the force distribution exerted on the windshield for the characteristics wiper noise for specific points. The obtain vibration data is processed by single-board microcontrollers. Behaviour movements of blade produce different vibration that can be investigated the maximum noise occurs on wiper blade operation using Uni-axial accelerometer A MMA7660. As a result, confirmation behaviour is shown the contact force distribution between rubber blade and glass is produce non-uniformly contact force and identical for hybrid type wiper and uniform contact force and not identical for conventional type wiper. In addition, characteristic of wiper rubber blade due to environment condition such as humidity, temperature and wiper stiffness are major factor in this research. As a conclusion, the results for behaviour of wiper blade depends on structural effect of the wiper blade related to the contact force distribution between the rubber blade and the glass. Secondly the characteristics of wiper rubber blade depends environment condition such as humidity and the temperature. The methodology is achievable to discovery the knowledge of dynamic behaviour and characteristics of wiper rubber blade in future.

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“…To formulate the residual vibration constraint, consider a unit, single-impulse response of a one DOF, lightly-damped system, after an applied time 1 …”

Section: Robust Input Shapingmentioning

confidence: 99%

“…Several researchers have investigated placing the input shaper outside the loop together with different types of feedback controller: iterative learning controller by Zolfagharian et al in [1]; genetic algorithm by Aldebrez et al in [2]; sliding mode controller by Pai in [3] and by Hu et al in [4]; PD controller by Huey and Singhose in [5] and by Kenison and Singhose in [6]; and adaptive controller by Dharne and Jayasuriya in [7]. A feedback controller based on quantitative feedback theory (QFT) is used in this paper.…”

Section: Introductionmentioning

confidence: 99%

Model Reference Input Shaping Using Quantitative Feedforward-Feedback Controller

Chatlatanagulchai¹

2017

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Abstract. Input shaping convolutes the reference signal with a sequence of impulses, whose amplitudes and timings are designed to produce a shaped reference that avoids exciting lightly-damped modes to reduce residual vibration from a quick movement. The input shaper can be made robust to uncertain mode parameters by adding more impulses, which delays the reference signal, resulting in longer move time. Instead of using more impulses, in this paper, a feedforward-feedback control system, based on the quantitative feedback theory, is placed in the loop to match the closed-loop system, with uncertain plant, to a known reference model. The feedforward-feedback system handles the uncertainty, so the input shaper, placed outside the loop, needs not be robust. The closed-loop system emphasizes on selected frequencies and reduces the cost of feedback. It is shown that the proposed feedforward-feedback system is less conservative than the pure-feedback system. Other sources of vibration such as external disturbances and noise can be handled by the feedforward-feedback system as well. Simulation shows that the proposed technique can withstand large plant uncertainty with fast move time when compared to traditional robust input shaper.

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Practical multi-objective controller for preventing noise and vibration in an automobile wiper system

Cited by 15 publications

References 37 publications

Quantitative Feedback Input Shaping for Flexible-Joint Robot Manipulator

Quantitative Feedback Input Shaping for Flexible-Joint Robot Manipulator

Dynamic Behaviour and Characteristics of Rubber Blade Car Performance

Model Reference Input Shaping Using Quantitative Feedforward-Feedback Controller

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