| Design and Application of a DSP Controller for Giant Magnetostrictive Smart Structure |
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| 作者姓名： | ZHANG Wen-guang* Mao Jian-qin School of Mechanical Engineering and Automation Beijing University of Aeronautics and Astronautics Beijing China |
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| 作者单位： | ZHANG Wen-guang*，Mao Jian-qin School of Mechanical Engineering and Automation，Beijing University of Aeronautics and Astronautics，Beijing 100083，China |
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| 基金项目： | 国家自然科学基金
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Key Subject Foundation of Beijing
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国家重点基础研究发展计划(973计划) |
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| 摘 要： | It is proposed a digital signal processing (DSP) controller used in the control system of six degree-of-freedom (DOF) giant mag-netostrictive smart structure (GMSS). Also are presented the controller design and its implementation, the embedded adaptive least mean-square (LMS) control algorithm and the real-time experiments of GMSS. Three programs are embedded in this controller. Of them are the adaptive LMS control algorithm and the other two which are used to search for the optimal values for the initial weight vectors. Moreover, the work flow and the control approach of the GMSS with the DSP controller are introduced. The experimental results indi-cate that the DSP controller has better control precision and real-time property, and the damping effect is up to 20 dB-30 dB.
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Design and Application of a DSP Controller for Giant Magnetostrictive Smart Structure |
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| ZHANG Wen-guang*,Mao Jian-qin School of Mechanical Engineering and Automation,Beijing University of Aeronautics and Astronautics,Beijing ,China.Design and Application of a DSP Controller for Giant Magnetostrictive Smart Structure[J].Chinese Journal of Aeronautics,2006,19(Z1). |
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| Authors: | ZHANG Wen-guang Mao Jian-qin |
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| Abstract: | It is proposed a digital signal processing (DSP) controller used in the control system of six degree-of-freedom (DOF) giant magnetostrictive smart structure (GMSS). Also are presented the controller design and its implementation, the embedded adaptive least mean-square (LMS) control algorithm and the real-time experiments of GMSS. Three programs are embedded in this controller. Of them are the adaptive LMS control algorithm and the other two which are used to search for the optimal values for the initial weight vectors. Moreover, the work flow and the control approach of the GMSS with the DSP controller are introduced. The experimental results indicate that the DSP controller has better control precision and real-time property, and the damping effect is up to 20 dB-30 dB. |
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| Keywords: | GMSS DSP active vibration control LMS algorithm |
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