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Active structural acoustic control using an integrated control system with smart structures

机译：具有智能结构的集成控制系统的主动结构声学控制

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摘要

An integrated control system with smart structure is proposed for active structural acoustic control (ASAC). It is mainly used to integrate the advantages of centralized and decentralized ASAC. Each smart structure contains a relatively independent controller, which forms a distributed control. The coordination and cooperation between smart structures is mainly realized by sending control factors (secondary generalized modal force) from the upper coordination unit (coordination structure) to each smart structure. The control factor can reflect the weight of each smart structure on vibration noise control, and play a key role in noise control. The control factors are extracted from the blend function in the bottom control units (smart structures) and stored in the coordination structure. This design method ensures the consistency of the internal functions of each smart structure and lays a foundation for decentralized control. In addition, whether the control factor is allocated to the smart structure depends on the real-time changes of the sound field. Through the intelligent allocation of the control factors, the global (centralized) control is realized and the coupling problem between smart structures is solved. Since the control system does not have a centralized controller, it appears as a decentralized control in form; at the same time, the centralized control in algorithm is achieved by extracting and redistributing the control factors. Therefore, the control system integrates the advantages of decentralized and centralized control.
机译：提出了一种具有智能结构的集成控制系统，用于有源结构声控制（ASAC）。它主要用于整合集中和分散的ASAC的优势。每个智能结构包含一个相对独立的控制器，它形成了分布式控制。智能结构之间的协调和合作主要通过将来自上部协调单元（协调结构）的控制因素（二次广义范性模式）发送到每个智能结构来实现。控制因子可以反映每个智能结构的重量在振动噪声控制上，并在噪声控制中发挥关键作用。控制因子从底部控制单元（智能结构）中的混合函数中提取并存储在配位结构中。这种设计方法确保了每个智能结构的内部功能的一致性，并为分散控制奠定了基础。此外，控制因子是否被分配给智能结构取决于声场的实时变化。通过控制因素的智能配置，实现了全局（集中）控制，并解决了智能结构之间的耦合问题。由于控制系统没有集中式控制器，因此它看起来呈形式的分散控制;同时，通过提取和重新分配控制因素来实现算法中的集中控制。因此，控制系统集成了分散和集中控制的优点。

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