熟悉自动控制的人们都知道,经典控制论以及以这一理论构成的控制器或控制系统,对解决线性定常系统的控制问题是十分有效的。现代控制论已在军事科学、空间飞行等多方面得到了成功的运用。但是,在工业生产中却仍有相当数量的过程难以实现自动控制。例如大滞后、非线性等复杂系统,以及难以获得数学模型或者模型非常粗糙的工业系统等等,使用经典控制器或控制系统,难以实现自动控制,目前大多数仍然以人工操作和人工控制为主。近年来实践表明,上述难以实现自动控制的生产过程,如采用计算机和模糊控制理论来实现自动控制,往往效果很好。模糊两 Those familiar with automatic control know that classical cybernetics and controllers or control systems constructed from this theory are very effective in solving the control of linear steady-state systems. Modern cybernetics has been successfully applied in military science and space flight. However, there are still a considerable number of processes in industrial production that are difficult to automate. Such as large lag, nonlinear and other complex systems, as well as difficult to obtain mathematical models or models are very rough industrial systems, etc., using the classic controller or control system, it is difficult to achieve automatic control, most of the current still manual and manual control . In recent years, practice shows that the above-mentioned difficult to achieve automatic control of the production process, such as the use of computer and fuzzy control theory to achieve automatic control, often works well. Fuzzy two