最小方差自适应控制在并条机自调匀整中的应用

首先从力学和统计学的角度分析了并条机在棉条的并条过程中引起测量罗拉位移和振动的的不确定因素。系统的随机性和非线性性影响了传统的自调匀整装置的控制效果。采用最小方差自适应控制技术是解决受控系统不确定性的理想方案。接着介绍了采用广义最小二乘法得到系统统识别模型的原理和方法，并介绍了最小方差自适应调节器的设计步骤及计算机仿真的方法。试运行表明，系统的输出跟踪系统输入的性能得到了较好的改善，系统对随机干扰的抑制能力得到了增强，自调匀整的效果得到了明显的改善。

Minimum Error Variance Adaptive Controlling Technique Applied on the Auto Regulation System of the Draw Frames

Firstly, the uncertain factors in drawing process, which cause the changes of the sensor's displacement and the sensor's vibration, are analyzed in terms of mechanics and statistics. Systemic randomictiy and non linearity affect the performance of traditional auto regulation equipment. Using the minimum error variance adaptive controlling technique to solve the uncertainty of controlled system is the ideal method. Secondly, using generalized least square method to achieve the principle and method of the system identifying model is described. Thirdly, the design steps of the minimum error variance adaptive adjustor and the method of the computer simulation are discussed. The result of test running shows that the output of the system follows the input of the system better, the system restrains the random disturbance more efficiently, and the performance of auto regulation is improved apparently.