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Vehicle interior noise active control based on piezoelectric ceramic materials and improved fuzzy control algorithm

机译:基于压电陶瓷材料的车辆内部噪声主动控制及改进的模糊控制算法

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摘要

An active control approach for interior noise of vehicle based on the piezoelectric ceramic materials and fuzzy control algorithm is presented in this paper. According to the electromechanical coupling characteristics and the positive/inverse mechanism of a piezoelectric material, a theoretical model of piezoelectric ceramic plate with a sandwich structure is deduced by using impedance analysis method. The size of a piezoelectric ceramic transducer (or actuator) and its sticking position on the plate frame are determined. The structural modes and dynamic responses of a vehicle cavity model are calculated by finite element analysis for selecting optimal positions of actuator on the front wall. Furthermore, a fuzzy controller is designed for active vibration control. The fuzzy algorithm is improved by adjusting quantization factors, such as the deviation and its changing rate. Following the derived piezoelectric equations and the improved fuzzy algorithm, an active structural acoustic control (ASAC) system is developed and a functional prototype is set up by using the dSPACE platform. Experimental results show that the developed ASAC system can significantly reduce not only the vibrations of the front wall, but also the interior noises of the cavity. This implies that the proposed vibration-based ASAC method is effective and feasible, which might be a potential approach for interior noise control of vehicles. (C) 2019 Elsevier Ltd. All rights reserved.
机译:提出了一种基于压电陶瓷材料和模糊控制算法的车辆内部噪声主动控制方法。根据压电材料的机电耦合特性和正反作用机理,利用阻抗分析方法推导了夹层结构压电陶瓷板的理论模型。确定压电陶瓷换能器(或执行器)的尺寸及其在板框上的粘贴位置。通过有限元分析计算车辆空腔模型的结构模式和动力响应,以选择执行器在前壁上的最佳位置。此外,为主动振动控制设计了模糊控制器。通过调整量化因子(例如偏差及其变化率)来改进模糊算法。根据推导的压电方程和改进的模糊算法,开发了主动结构声学控制(ASAC)系统,并使用dSPACE平台建立了功能原型。实验结果表明,所开发的ASAC系统不仅可以显着降低前壁的振动,而且还可以显着降低空腔的内部噪声。这表明所提出的基于振动的ASAC方法是有效可行的,这可能是控制车辆内部噪声的一种潜在方法。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Acoustics》 |2019年第7期|216-226|共11页
  • 作者单位

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

    Shanghai Univ Engn Sci, Sch Mech & Automot Engn, 333 Longteng Rd, Shanghai 201620, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicle interior noise; Active structural acoustic control (ASAC); Piezoelectric ceramic material; Piezoelectric effect; Improved fuzzy control algorithm;

    机译:车辆内部噪声;主动结构声控制(ASAC);压电陶瓷材料;压电效应;改进的模糊控制算法;

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