Semi-active Vibration Control Using a Magneto Rheological (MR) Damper with Particle Swarm Optimization

Wei, Huang; Xu, Jian; Zhu, Daqi; Wu, Ying-lei; Lu, Jing; Lu, Kunlin

doi:10.1007/s13369-015-1574-4

Cited by 21 publications

(8 citation statements)

References 26 publications

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“…In this study, the LQG control is combined with PSO [1,3] technique, and an optimized active controller is performed here, and the fitness function is defined as…”

Section: Active Vibration Controlmentioning

confidence: 99%

“…The rapid development of a modern technology is closely related to the broad application and innovation of power equipment, which can generate great vibrations and do harm for building structures and people [1][2][3][4]. Chilled water pumps, freezers, chillers, and air conditioners are often included in power equipment and installed in the civil structures such as hospitals, etc., and the vibrations will influence the upper floors, human comfort and even the safety.…”

Section: Introductionmentioning

confidence: 99%

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Testing and isolation strategies for the vibrational hazards

Wei

Xu²,

Zhang³

et al. 2019

Eng. rev. (Online)

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In this paper, a test for investigating the vibrational hazards occurred in a modernized hospital was carried out, in which a lot of power equipment such as chilled water pumps and freezers, etc. were installed in the ground floor. The generated vibrations could be experienced on the upper floors including some medical precision room. Next, solation and active control strategies were proposed, and evidently the active control could improve the suppression a lot. This study illustrated that the great vibrational hazards could not be ignored anymore, and the followed resolution strategies for eliminating these vibrations seemed to be urgent. In tradition, the vibration isolations would not be involved in initial design for civil structures, but in fact this might lead to a severe problem to be addressed in the future, and this study could give inspiration for green building.

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“…In this study, the LQG control is combined with PSO [1,3] technique, and an optimized active controller is performed here, and the fitness function is defined as…”

Section: Active Vibration Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Testing and isolation strategies for the vibrational hazards

Wei

Xu²,

Zhang³

et al. 2019

Eng. rev. (Online)

View full text Add to dashboard Cite

show abstract

“…However, power consumption and smoothness are often mutually restrictive optimization indexes, so an appropriate multi-objective optimization algorithm is needed to solve them. Particle swarm optimization (PSO) is an evolutionary computation that simulates the predation behavior of birds, which is widely used in the engineering field [16,17]. On this basis, the PSO was continuously improved in order to improve the search scope and convergence speed [18].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Experiment of Straw Back-Throwing Device of No-Tillage Drill Using Multi-Objective QPSO Algorithm

Zhang

et al. 2021

Agriculture

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Reducing operation energy consumption is the development demand of conservation tillage equipment. In order to solve the problems of high power consumption and the easy blockage of the no-tillage drill under full straw retention, the key parameters of the straw back-throwing device were optimized in this study. The Box–Behnken central combination test method was used to analyze the influence of the impeller rotating speed, feed quantity and cross-sectional area of the throwing pipe on the specific power consumption and throwing speed, the mathematical models of which were built with the aid of the least square method. In addition, the mathematical models were optimized by using a multi-objective quantum behaved particle swarm optimization (QPSO) with an improved target weighting coefficient. The optimization results indicated that, when the impeller rotating speed was 2287 r/min, the feed quantity was 1.1 kg/s and the cross-sectional area of the throwing pipe was 506.997 cm2, the specific power consumption and throwing speed by the models were 7528 m2/s2 and 11.73 m/s, respectively. The models were verified by comparing the optimization results with the measured data in the simulation filed tests, which proved that the multi-objective QPSO algorithm was feasible to optimize the working and structural parameters of the straw back-throwing device of the no-tillage drill under full straw retention. The results provide references for the parameter optimization of similar no-tillage drills under straw retention.

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“…In order to gain a good suspension system, the semi-active suspension system was then introduced and studied by the researchers. Huang and Xu (2015) made the improvements in fuzzy logic control in semi-active vibration control system. They implemented the particle swarm optimization to limit current in the case of the sensitive model used to predict the output through experimental and simulations process.…”

Section: Introductionmentioning

confidence: 99%

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

Putra

Yakub

Rasid³

et al. 2021

JSAEM

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The suspension system is required in an automobile in order to absorb shock that comes from various type of disturbances such as irregular road profile, engine vibrations and wheel. Besides, the suspension plays an important part in enhancing the passenger ride comfort. The suspension will make sure that the tire is always contacted with the road for a better grip and braking. Conventionally, passive suspension has been used in car manufacturing that leads to huge vibrations that affect the ride quality. This is because ride comfort of passengers gets affected by overshoot and settling time of vehicle under vibration. Therefore, a good controller design is required to minimize the vibrations. In this research, an active suspension of quarter car model that considers only vertical movement is utilized in the suspension system. This paper presents a Linear Quadratic Regulator (LQR) method to enhance the vehicle ride comfort towards the vibration of the suspension system. The control design approach is then compared with the classical control which is the Proportional Integral Derivative (PID) that is set as a benchmark control. The results for both controllers are evaluated through simulations in MATLAB and Simulink Software. Other than using the passenger vehicle parameters, the parameters of bus are also tested into the system to investigate the vehicle performance by taking the bumps and road pavements as road disturbances. The results obtained from the simulations show that the responses of the quadratic based approach give the significant improvement in minimizing the vibration and fast settling time compared to passive and PID control.

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Semi-active Vibration Control Using a Magneto Rheological (MR) Damper with Particle Swarm Optimization

Cited by 21 publications

References 26 publications

Testing and isolation strategies for the vibrational hazards

Testing and isolation strategies for the vibrational hazards

Optimization and Experiment of Straw Back-Throwing Device of No-Tillage Drill Using Multi-Objective QPSO Algorithm

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

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