基于模糊推理器的多变量系统控制

针对一类输出量不可直接测量但可以通过其它物理量来获得的多变量非线性系统的控制问题，提出了一种基于模糊推理器的控制方法。这一方法将传统复杂系统的黑箱控制器分解为一般控制器和模糊推理器，其中模糊推理器主要完成相对复杂的测量信号到控制信号的转换，而一般控制器则主要完成系统执行机构的动态性能优化问题。该方法大大简化了这一类控制系统的设计和实现，同时又充分利用了模糊推理和传统控制方法的优点，具有很强的实用性。目前已成功应用于某单位的炮弹装填控制系统的设计中，并取得了良好的效果。

Controlling multi-variable system using fuzzy inferer

A method of controlling a multi variable nonlinear system using fuzzy inferer was presented. For such multi variable system, output is difficult to measure directly, but can be acquired from other easily measured parameters. The method divides the complicated controller into two parts: a common controller and a fuzzy inferer. While the fuzzy inferer completes the complex conversion of measured signal to control signal, the common controller mainly responses for the dynamic performance of the target system. The method greatly simplifies the design of such complex multi variable system, and meanwhile, it takes full advantage of fuzzy inferer and common control method. It has been successfully used in the design of a certain gun control system.