An adaptive input shaping control scheme for vibration suppression in slewing flexible structures

Tzes, Anthony; Yurkovich, Stephen

doi:10.1109/87.238404

Cited by 195 publications

(57 citation statements)

References 22 publications

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“…The idea of input shaping has shown an advantage in reducing vibration and subsequent excitations caused by rapid changes in reference command (Fortgang & Singhose, 2002), (Tzes & Yurkovich, 1993). As mentioned earlier, to have an effective gain scheduled controller, the scheduling variable should not change faster than the slowest dynamic in the system.…”

Section: Input Shapingmentioning

confidence: 99%

On the Control of Automotive Traction PEM Fuel Cell Systems

Al‐Durra¹,

Yurkovich²,

Guezennec³

2011

New Trends and Developments in Automotive System Engineering

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Section: Input Shapingmentioning

confidence: 99%

On the Control of Automotive Traction PEM Fuel Cell Systems

Al‐Durra¹,

Yurkovich²,

Guezennec³

2011

New Trends and Developments in Automotive System Engineering

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“…A system of equations with the form 0  Aq q can be made up with (14), (19), (20) and (21). Its solution yields:…”

Section: Modified Adaptive Algorithmmentioning

confidence: 99%

“…Nevertheless, to cope with a large system parameters variation, learning input shaping and adaptive input shaping become relevant. Learning input shaping (LIS) 18,19 provides a solution after several repetitive maneuvers, while the adaptive input shaping (AIS) [20][21][22][23][24] requires only one, resulting in a better approach for single maneuvers on cranes. Both of them estimate the system parameters by including in their algorithms the output response measured through a feedback sensor.…”

Section: Introductionmentioning

confidence: 99%

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Modified adaptive input shaping for maneuvering cranes using a feedback MEM gyroscope with null drift

Fontanet

Cardona

Català

2015

Int. J. Precis. Eng. Manuf.

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This paper presents an adaptive algorithm to reduce residual vibrations when the feedback sensor used has the drawback of having null drift along the time. The adaptive approaches are useful to deal with large variations of the system parameters at each maneuver, such as it occurs in cranes. For the feedback sensor, the use of inertial measurement units such as Micro-Electro-Mechanical Systems (MEMS) is increasingly extended because of their cost, size, robustness and power consumption. However, the effectiveness of the adaptive input shaping algorithms is compromised because of this drift, which is a commonly raised issue in this kind of devices. For a standard crane application, this major drawback could be avoided with a frequent time-basis calibration of the sensor, but it is not a feasible solution. The study presented in this manuscript focuses on the development of an automatic compensation of this drift to obviate such frequent calibrations. It is based on a non-asymptotic algebraic identification technique, which has the advantage of not requiring initial conditions and having a short convergence time. The new formulation uses the Zero-Vibration (ZV) input shaper technique, and the null drift is added to the algorithm as a new parameter to be identified. The proposed method has been particularized for single maneuvers of cranes with a gyroscope as feedback sensor, in a real time scenario. Experimental results show the efficacy of the method with its application to a scaled crane test platform. P R E -P R I N T V E R S I O N

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“…The objective is to show its application for this subject. Here, the input shaping technique, which has been successfully used to control vibration of flexible structures [21][22][23] but rarely for suppressing sloshing is introduced. Several types of input shaper, such as Zero Vibration (ZV), Zero Vibration and Derivative (ZVD) 24) and Extra Insensitive (EI) 25) are designed to achieve the objective.…”

Section: Case Using Advanced Control Algorithmmentioning

confidence: 99%

Dynamic Influence of Propellant Sloshing Estimation Using Hybrid: Mechanical Analogy and CFD

Dong

Wang

et al. 2009

Trans. Japan Soc. Aero. S Sci.

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Liquid propellant sloshing, which induces perturbations to dynamic behavior of spacecraft, is a serious problem. This paper proposes an approach based on equivalent mechanics theory and Computational Fluid Dynamics (CFD) technology to estimate the dynamic influence of propellant sloshing on spacecraft. A mechanical model was built by CFD technique and packed as a ''sloshing'' block utilized in the spacecraft Guidance Navigation and Control (GNC) simulation loop. The block takes the motion characteristics of the spacecraft as inputs and outputs perturbative force and torques induced by propellant sloshing. It is more convenient to utilize in analysis of the coupling effect between propellant sloshing dynamics and spacecraft GNC than CFD packages directly. A validation case is taken to validate the accuracy and the superiority of the approach. The deducing process is applied to practical cases, and the simulation results are presented to demonstrate the proposed approach is efficient in identifying the problems induced by sloshing and evaluating effectiveness of several typical schemes for suppressing sloshing.

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An adaptive input shaping control scheme for vibration suppression in slewing flexible structures

Cited by 195 publications

References 22 publications

On the Control of Automotive Traction PEM Fuel Cell Systems

On the Control of Automotive Traction PEM Fuel Cell Systems

Modified adaptive input shaping for maneuvering cranes using a feedback MEM gyroscope with null drift

Dynamic Influence of Propellant Sloshing Estimation Using Hybrid: Mechanical Analogy and CFD

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