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随着现代工业生产朝着大型化、连续化和自动化方向迅速发展,对控制系统也提出了新的更高的要求。为了设计能实时进行信息处理、排除干扰、寻求最优操作条件以及适应环境的改变而改进系统本身的性能的高精度、高性能的系统,经典的控制理论已经不能完全满足要求了,特别是空间技术的发展对控制系统提出了许多新的要求,由于这种客观需要的推动,在六十年代前后形成了一种新的控制理论——现代控制理论。从六十年代后期就进行了把现代控制理论的方法应用于工业过程的尝试,十几年来在这方面已经取得了很大的进展,在许多领域都得到了成功的应用。电子计算机作为控制工具进入控制系统是取得那些成功的关健因素之一。由于控制系统具有了实时计算和存储记忆的能力,使得用现代控制理论设计的一些高精度、高性能的系统能够实现了,也就使得在过程控制中能够用不同于常规调节器的许多较为复杂、性能更为完善的控制系统。这样就有可能大大提高整个系统的控制品质。因此现代控制理论已经成为控制系统的分析与设计的重要理论工具。本讲座准备分六讲介绍现代控制理论的基本内容。第一讲:数学模型,第第二讲:系统辫识,第三讲:最优控制;第四讲:线性多变量拉制系统的设计;第五讲:自适应控制系统;第六讲:分散拉制系统简介。
With the rapid development of modern industrial production in the direction of large-scale, continuous and automation, new and higher requirements have also been put on the control system. In order to design a high-precision, high-performance system that can process information in real time, eliminate interference, seek optimal operating conditions and improve the performance of the system to adapt to the changes of the environment, the classical control theory can not fully meet the requirements, especially the space The development of technology poses many new requirements for the control system. As a result of this objective need, a new control theory - modern control theory was formed around the 1960s. Since the late 1960s, attempts have been made to apply the method of modern control theory to industrial processes. Over the past decade, great progress has been made in this field and successful applications have been made in many fields. Entering the control system as a control tool is one of the keys to success for those computers. Because the control system has the ability of real-time calculation and storage memory, some high-precision and high-performance systems designed by modern control theory can be realized, which makes it possible to use many more complex process control than conventional regulators , The performance of a more complete control system. This makes it possible to greatly improve the quality of control of the entire system. Therefore, modern control theory has become an important theoretical tool for the analysis and design of control systems. This lecture prepares to introduce the basic content of modern control theory in six points. Lecture 1: Mathematical Model, Lecture 2: System Braille, Lecture 3: Optimal Control Lecture 4: Design of Linear Multivariable Drawing System Lecture 5: Adaptive Control System Lecture 6: Scattered drawing system introduction.