电液位置伺服系统智能控制及仿真技术研究
发布时间：2019-04-02 20:30
【摘要】：电液位置伺服系统作为控制领域中一个重要的组成部分，，具有功率大、响应快、精度高的特点，在工业生产领域得到了广泛的应用。由于电液位置伺服系统是一结构复杂而多耦合的机、电、液综合系统，普遍存在非线性、时变性、不确定性，且系统精确的数学模型不易建立，应用传统的基于模型的控制理论不能很好的解决电液位置伺服系统存在的问题，因此迫切需要寻找新的控制策略。 本论文在传统PID控制的基础上，结合控制理论、人工智能理论和计算机科学，对全数字一体化角位移系统的控制策略进行了较为深入的研究。 1．在传递函数建模理论的基础上，构建了电液位置伺服系统的数学模型，本文结合计算机仿真技术在电液位置伺服系统领域内的发展，利用Simulink软件模块创建了电液位置伺服系统的仿真模型。利用LTIVIEW线性分析工具得出系统的开闭环BODE图、阶跃响应曲线以及脉冲响应曲线，根据曲线反映的特性参数，发现全数字一体化角位移控制系统存在如相位裕量较小、系统超调量较大、系统调定时间较长等缺陷，为下一步引入智能控制策略提供依据。 2．结合PID控制原理的发展方向，利用神经网络技术作为构成智能控制器的基石，具体研究了多种PID控制算法如：增量式PID控制算法、积分分离PID控制算法、单神经元自适应PID控制算法以及BP神经网络PID控制算法，结合课题研究的实验平台——全数字一体化角位移控制系统，提出了一种带有智能协调器集多种控制策略于一体的智能控制器。 3．利用MATLAB语言强大的图形显示、数据运算能力以及开放式的扩展接口技术，以VC软件作为二次开发的平台，利用Matcom编辑器能够将M文件自动转换为等效功能的C++代码技术以及Matcom提供的DLL接口函数，开发了各种PID控制算法的仿真模块。这种方式保持了M程序文件强大的数学运算能力和图形处理功能，同时又提高了系统代码的执行效率，减小了控制算法的调试难度，加快了智能控制系统的开发周期。 4．在以上研究的基础上，构建了适合全数字一体化角位移系统控制品质需要的智能控制实验模型，利用VC平台以及相关的虚拟仪器技术、DLL技术、ActiveX技术，开发了全数字一体化角位移智能控制CAT系统。
[Abstract]:As an important part of the control field, electro-hydraulic position servo system has the characteristics of large power, fast response and high precision. It has been widely used in the field of industrial production. Because the electro-hydraulic position servo system is a complex and multi-coupling mechanical, electrical, hydraulic integrated system, there are generally nonlinear, time-varying, uncertain, and the accurate mathematical model of the system is not easy to establish. The traditional model-based control theory can not solve the problem of electro-hydraulic position servo system, so it is urgent to find a new control strategy. Based on the traditional PID control theory, artificial intelligence theory and computer science, the control strategy of all-digital integrated angular displacement system is deeply studied in this paper. 1. Based on the theory of transfer function modeling, the mathematical model of electro-hydraulic position servo system is constructed. In this paper, the development of computer simulation technology in the field of electro-hydraulic position servo system is combined with the development of electro-hydraulic position servo system. The simulation model of electro-hydraulic position servo system is established by using Simulink software module. The open-closed loop BODE diagram, step response curve and pulse response curve of the system are obtained by using LTIVW linear analysis tool. According to the characteristic parameters reflected by the curve, it is found that the all-digital integrated angular displacement control system has a small phase margin. The large overshoot of the system and the long setting time of the system provide the basis for the introduction of intelligent control strategy in the next step. 2. Combining with the development direction of PID control principle, using neural network technology as the cornerstone of intelligent controller, this paper studies several PID control algorithms, such as incremental PID control algorithm and integral separation PID control algorithm. Single neuron adaptive PID control algorithm and BP neural network PID control algorithm, combined with the experimental platform-all-digital integrated angular displacement control system. In this paper, an intelligent controller with intelligent coordinator integrated with multiple control strategies is proposed. 3. With the powerful graphic display, data computing ability and open extended interface technology of MATLAB language, the VC software is used as the secondary development platform. The simulation modules of various PID control algorithms are developed by using the C code technology which can automatically convert M files into equivalent functions by Matcom editor and the DLL interface functions provided by Matcom. This method maintains the powerful mathematical operation ability and graphic processing function of M program file, improves the efficiency of system code execution, reduces the debugging difficulty of control algorithm, and speeds up the development cycle of intelligent control system. 4. On the basis of the above research, the intelligent control experiment model suitable for the control quality of all-digital integrated angular displacement system is constructed. The VC platform and the related virtual instrument technology, DLL technology and ActiveX technology are used. A fully digital integrated angle displacement intelligent control CAT system is developed.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2004
【分类号】：TH137
[Abstract]:As an important part of the control field, electro-hydraulic position servo system has the characteristics of large power, fast response and high precision. It has been widely used in the field of industrial production. Because the electro-hydraulic position servo system is a complex and multi-coupling mechanical, electrical, hydraulic integrated system, there are generally nonlinear, time-varying, uncertain, and the accurate mathematical model of the system is not easy to establish. The traditional model-based control theory can not solve the problem of electro-hydraulic position servo system, so it is urgent to find a new control strategy. Based on the traditional PID control theory, artificial intelligence theory and computer science, the control strategy of all-digital integrated angular displacement system is deeply studied in this paper. 1. Based on the theory of transfer function modeling, the mathematical model of electro-hydraulic position servo system is constructed. In this paper, the development of computer simulation technology in the field of electro-hydraulic position servo system is combined with the development of electro-hydraulic position servo system. The simulation model of electro-hydraulic position servo system is established by using Simulink software module. The open-closed loop BODE diagram, step response curve and pulse response curve of the system are obtained by using LTIVW linear analysis tool. According to the characteristic parameters reflected by the curve, it is found that the all-digital integrated angular displacement control system has a small phase margin. The large overshoot of the system and the long setting time of the system provide the basis for the introduction of intelligent control strategy in the next step. 2. Combining with the development direction of PID control principle, using neural network technology as the cornerstone of intelligent controller, this paper studies several PID control algorithms, such as incremental PID control algorithm and integral separation PID control algorithm. Single neuron adaptive PID control algorithm and BP neural network PID control algorithm, combined with the experimental platform-all-digital integrated angular displacement control system. In this paper, an intelligent controller with intelligent coordinator integrated with multiple control strategies is proposed. 3. With the powerful graphic display, data computing ability and open extended interface technology of MATLAB language, the VC software is used as the secondary development platform. The simulation modules of various PID control algorithms are developed by using the C code technology which can automatically convert M files into equivalent functions by Matcom editor and the DLL interface functions provided by Matcom. This method maintains the powerful mathematical operation ability and graphic processing function of M program file, improves the efficiency of system code execution, reduces the debugging difficulty of control algorithm, and speeds up the development cycle of intelligent control system. 4. On the basis of the above research, the intelligent control experiment model suitable for the control quality of all-digital integrated angular displacement system is constructed. The VC platform and the related virtual instrument technology, DLL technology and ActiveX technology are used. A fully digital integrated angle displacement intelligent control CAT system is developed.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2004
【分类号】：TH137
【引证文献】
相关期刊论文 前1条
1 顾峰玮;汪世益;;环形零件圆度误差测控系统的设计研究[J];机械工程师;2008年07期
相关硕士学位论文 前10条
1 卞军;FESTO液压伺服试验台测控系统研究与开发[D];沈阳理工大学;2011年
2 杨文强;桥梁橡胶支座试验机测控系统研究[D];西南交通大学;2011年
3 苏李伟;胶带输送机智能液压张紧控制技术的研究与应用[D];大连交通大学;2011年
4 冯晨;数字式飞机进气道斜板控制器[D];哈尔滨工程大学;2005年
5 李罕v
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