多智能体的振动噪声前馈主动控制技术

发布时间：2018-10-15 06:35

【摘要】：传统振动噪声主动控制系统在灵活性、通用性和稳定性等方面存在缺陷,难以适应外界环境的动态性和不确定性。由此考虑将多智能体技术与经典的控制理论—自适应前馈FxLMS控制算法综合起来形成有效智能控制系统。根据主导振动噪声的结构模态分解振动噪声控制问题,比较结构特征频率声压和一预设阈值大小来定义控制器操作域。综合各种功能函数和自适应FxLMS算法形成控制单元(控制器智能体)。通过最大声压频率和特征频率之差小于某一常数α来定义决策函数,以决策各控制单元的优先启动。提取传递函数至上层组织作为加权系数以实现各控制单元之间的合作。通过调整常数α能够实现不同控制器的灵活启动,并利用智能体之间的合作实现系统的通用性和稳定性。
[Abstract]:The traditional active control system of vibration and noise has some defects in flexibility, versatility and stability, so it is difficult to adapt to the dynamic and uncertainty of the external environment. Therefore, the multi-agent technology and the classical control theory, adaptive feedforward FxLMS control algorithm, are considered to form an effective intelligent control system. According to the structure mode decomposition vibration and noise control problem of dominant vibration noise, the structure characteristic frequency sound pressure and a preset threshold value are compared to define the operating domain of the controller. A control unit (controller agent) is formed by synthesizing various function functions and adaptive FxLMS algorithm. The decision function is defined by the difference between the maximum sound pressure frequency and the characteristic frequency being less than a constant 伪, and the priority start of each control unit is obtained. The transfer function is extracted to the upper organization as the weighting coefficient to realize the cooperation between the control units. The flexible start of different controllers can be realized by adjusting constant 伪, and the generality and stability of the system can be realized by the cooperation between agents.
【作者单位】：宁波工程学院机械工程学院;东南大学机械工程学院;
【基金】：国家自然科学基金资助项目(50975047) 宁波市自然科学基金资助项目(2016A610107)
【分类号】：TB535

【相似文献】