电磁式可控震源扫描信号自适应控制技术研究

发布时间：2018-03-02 07:35

本文关键词： 地震勘探电磁式可控震源扫描信号系统辨识自适应控制　出处：《吉林大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着我国经济的日益发展和进步,人们对资源的需求也越来越大,但是局限于许多资源的再生周期较长,资源勘探速度远远低于资源消耗速度,因此推进技术改革和新型地质勘探设备研发成为当下关注热点。地震勘探技术作为矿产资源勘查最行之有效的方法之一,在国内外得到了广泛关注。可控震源作为地震勘探中主要的激发源之一,其激发信号质量直接影响地震勘探精度和准确度。电磁式可控震源作为一种高频振动激发源,在浅层地质勘探领域应用广泛,然而国内外对电磁式可控震源系统的研究起步晚、进展慢,加之电磁式可控震源系统自身结构的独特性和非闭环控制等缺点使得现有电磁式可控震源系统所激发扫描信号不可控,随着振动频率的升高,震源系统的输出信号衰减严重,无法满足当前地震勘探精度的要求。为了解决电磁式可控震源扫描信号控制问题,本文以500PHVS-型电磁式可控震源为研究对象,在现有硬件结构基础上分析了系统开环控制的不足,提出了电磁式可控震源扫描信号自适应控制方案。该方案以计算机控制系统为核心,扫描信号生成模块、信号处理系统、电磁激振器和数据采集模块构成闭环系统。在实现自适应控制方案过程中,首先对电磁式可控震源的系统结构进行分析,借助于递推增广最小二乘系统辨识方法对震源系统结构和参数进行了求取并确定系统的数学模型表达式,并对辨识结果进行了分析;然后在电磁式可控震源系统数学模型基础上,借助于自适应控制理论,开展了基于Lyapunov理论的Narendra稳定自适应控制方案,对控制器的设计进行了数学推导,并应用到电磁式可控震源系统中,最终实现了电磁式可控震源扫描信号的自适应控制,为推动电磁式可控震源系统控制技术的发展提供了新方法。通过对Narendra稳定自适应控制器的性能仿真分析和电磁式可控震源系统控制前后的实际输出扫描信号对比分析,验证了本文所提方案的可行性与有效性。最后,对全文工作进行了总结分析,对自适应控制技术在电磁式可控震源领域的应用进行了讨论与展望。
[Abstract]:With the development and progress of China's economy, the demand for resources is increasing, but limited to the longer regeneration cycle of many resources, the speed of resource exploration is far lower than the speed of resource consumption. Therefore, to promote technological reform and research and development of new geological exploration equipment has become a hot issue. Seismic exploration technology as one of the most effective methods for mineral resources exploration, As one of the main excitation sources in seismic exploration, the quality of excitation signal directly affects the accuracy and accuracy of seismic exploration. Electromagnetic vibroseis is a kind of high frequency vibration source. It is widely used in shallow geological exploration field. However, the research on electromagnetic vibroseis system at home and abroad started late and made slow progress. In addition, the unique structure of the electromagnetic vibroseis and the non-closed-loop control make the scanning signal excited by the electromagnetic vibroseis uncontrollable. With the increase of the vibration frequency, the output signal of the source system attenuates seriously. In order to solve the problem of scanning signal control of electromagnetic vibroseis, this paper takes 500PHVS- type electromagnetic vibroseis as the research object, and analyzes the deficiency of open-loop control based on the existing hardware structure. An adaptive control scheme for scanning signal of electromagnetic vibroseis is proposed, which takes computer control system as the core, scanning signal generating module and signal processing system. The electromagnetic exciter and the data acquisition module constitute the closed-loop system. In the process of realizing the adaptive control scheme, the system structure of the electromagnetic vibroseis is analyzed. By means of the recursive augmented least squares system identification method, the structure and parameters of the seismic source system are obtained and the mathematical model expressions of the system are determined, and the identification results are analyzed. Then based on the mathematical model of electromagnetic vibroseis system and with the help of adaptive control theory, the Narendra stable adaptive control scheme based on Lyapunov theory is developed, and the design of the controller is derived. And applied to electromagnetic vibroseis system, finally realized the adaptive control of electromagnetic vibroseis scanning signal. In order to promote the development of the control technology of electromagnetic vibroseis system, a new method is provided. Through the simulation analysis of the performance of the Narendra stable adaptive controller and the contrast analysis of the actual output scanning signals before and after the control of the electromagnetic vibroseis system, The feasibility and effectiveness of the proposed scheme are verified. Finally, the work of this paper is summarized and analyzed, and the application of adaptive control technology in the field of electromagnetic vibroseis is discussed and prospected.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：P631.4

【参考文献】