Vibration control of two-connected piezoelectric flexible plate using nonlinear algorithm and T-S fuzzy controller

Qiu, Zhi-cheng; Ling, Defang; Zhang, Xianmin; Han, Jianda

doi:10.1177/1045389x14523857

Cited by 19 publications

(18 citation statements)

References 31 publications

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“…Through the aid of an artificial intelligent algorithm, the quantization factor, the scale factor and the membership function can be optimized. 8,25 The fuzzy control system optimized by the intelligent algorithm not only has strong robustness and high reliability, but also has the char- acteristics of an autonomous memory, is self-learning and is self-adaptive. Moreover, it can automatically identify parameters of the controlled process and adapt to the changes of these parameters.…”

Section: Design Of the Optimized Fuzzy Control Systemmentioning

confidence: 99%

Fuzzy Control of Floating Raft Active Vibration Isolation System under Narrowband Interference

Jiang¹,

Duan²,

Liu³

2020

The International Journal of Acoustics and Vibration

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The harmonic signal generated by power equipment on naval vessels is a typical narrowband interference, which seriously affects the stealth performance of naval vessels. The float raft active vibration isolation system is characterized by strong adaptability and good controllability, which can effectively isolate low-frequency interference. For the active vibration isolation system, the control strategy is one of the core, and the precise mathematical model is difficult to be established. The fuzzy control does not rely on the precise mathematical model of the controlled system, which cannot only provide an intelligent path for the active control of the complex floating raft system, but also effectively suppresses the narrowband interference caused by naval vessels' power equipment. Therefore, depending on the existing float raft active vibration isolation platform, this paper outlines a design for a two-input/single-output optimized fuzzy control system based on vibration acceleration, variation of vibration acceleration and control voltage. In an optimized fuzzy control system, an algorithm of quantum behavior particle swarm optimization algorithm (QPSO) is proposed to optimize quantization factor and scale factor because quantization factor and scale factor are set subjectively with strong subjectivity and blindness, and the stability of the control system is roughly verified. Therefore, simulations and experiments are carried out to test and verify the performance of control system designs outlined in this paper. Through comparative analysis, it shows that the floating raft active vibration isolation system with a fuzzy control system based on the QPSO algorithm has a favorable effect on low-frequency narrowband interference.

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Section: Design Of the Optimized Fuzzy Control Systemmentioning

confidence: 99%

Fuzzy Control of Floating Raft Active Vibration Isolation System under Narrowband Interference

Jiang¹,

Duan²,

Liu³

2020

The International Journal of Acoustics and Vibration

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“…Li et al investigated vibration control of space truss structure [4] and smart solar array structure [5,6] by using piezoelectric stacks and piezoelectric patches, respectively. Qiu et al used piezoelectric sensors and actuators to suppress the vibration of a flexible plate [7]. Sales introduced passive vibration control of flexible spacecraft using shunted piezoelectric transducers [8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Vibration Control of Smart Structure with VFIFE Modeling

Jiang

et al. 2015

J. mech.

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The vibration control of smart structure is considered in this paper. Membrane SAR antenna structure with piezoelectric sensors and actuators is taken as an example. The dynamic model is build up based on vector form intrinsic finite element (VFIFE) method. The four nodes membrane element, sensor element and actuator element for VFIFE are presented. By decentralized control stratagem, the bending and torsional vibrations of the membrane SAR antenna can be decoupled on measurement and driving control. The fuzzy control and adaptive fuzzy control are applied to suppress the bending and torsional vibrations of the membrane SAR structure. In the numerical experiment section, form finding is first carried out, then vibration control simulations are studied. The results demonstrate that adaptive fuzzy control algorithm can suppress the vibrations more effectively than the fuzzy control algorithm.

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“…Nikdel et al 16 designed a Takagai-Sugeno (T-S) fuzzy approach for control of a flexible joint robot. Qiu et al 17 proposed a T-S fuzzy controller to control a two-connected piezoelectric flexible plate.…”

Section: Introductionmentioning

confidence: 99%

Online learning fuzzy vibration control of smart truss structure

Jiang

2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper deals with the active vibration control of smart truss structure. First, the electro-mechanical coupled dynamic model of the smart structure is constructed. Then, the first-order ordinary differential equation of the control system is presented. After that, an online learning fuzzy control (OLFC) algorithm is proposed to control the structure vibrations. The OLFC algorithm is composed of a reward function, a Q learning algorithm, a rule base generator and a conventional fuzzy controller. The OLFC algorithm learns the rule base by interaction with the plant, and changes rule base generate policy via evaluative reward signal to realize the learning goal. The algorithm only needs little information about the plant to design the reward function. In order to prove the effectiveness of the proposed control algorithm, control responses are presented and compared with conventional fuzzy control method.

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Vibration control of two-connected piezoelectric flexible plate using nonlinear algorithm and T-S fuzzy controller

Cited by 19 publications

References 31 publications

Fuzzy Control of Floating Raft Active Vibration Isolation System under Narrowband Interference

Fuzzy Control of Floating Raft Active Vibration Isolation System under Narrowband Interference

Adaptive Fuzzy Vibration Control of Smart Structure with VFIFE Modeling

Online learning fuzzy vibration control of smart truss structure

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