A new learning algorithm of fuzzy self - tuning controllers 一种新的模糊自校正控制学习算法
A fuzzy self - tuning controller based on fuzzy competitive learning 基于模糊竞争学习的模糊自校正控制
Two way traffic model and self - tuning controller for freeway around ci ty 环城高速公路双方向交通模型与自校正控制
The intelligent method based on performance feedback and parameter self - tuning controller based on rules have been proposed , which simplify the design of intelligent fuzzy control algorithm 提出了性能反馈的智能控制方法和基于规则的控制器参数自调整机制等智能控制策略。并简化了智能模糊控制算法的设计。
Results obtained from a hybrid simulation of a heating plant , building and environment show that the self - tuning controller behaves well and has superior performance characteristics compared to conventional start controllers 结果表明自调节控制器能够良好运转,并且与传统控制方法相比较,具有更好的操作性能,能够实现节能的目的。
A generalized minium variance pole assignment pid self - tuning controller can be used for the system with gentle time - varying delay . the controller algorithm is simplified . its effectiveness has been shown in many simulation uses 在考虑系统时滞特性的情况下,提出了适合一类时滞系统的广义最小方差极点配置自校正控制器,并对控制器算法进行了简化,使该控制器简单易行,适应性强,仿真结果表明它的有效性。
Considering the typical nonlinear characteristics of srm drive system which make the constant parameters of traditional controller unable to adapt to the random disturbance parameters in a large scale , the fuzzy control is introduced to improve its performance . a fuzzy self - tuning controller is designed , which can adjust parameters automatically and improve its static and dynamic performance 鉴于开关磁阻电动机调速系统显著非线性造成固定参数在常规控制方式下不能很好适应工况大范围变化的问题,引入了模糊控制来改善其性能,设计了模糊自校正控制器,实现了参数的在线优化调整,提高了系统的静、动态性能。
The essential idea of self - tuning controllers described in this essay is as follows : according to the system dynamics to step variation , to define a performance index to evaluate the system response ; based on the monotonous relationship between the performance index and an intermediate pi gain parameter , this latter parameter is estimated with tuning approach in order to improve the performance index ; finally , pi gains are calculated and renewed according to the estimated intermediate , in order to improve the performance of system 本文所阐述的控制器增益自动校正理论的基本思想如下:按照系统对阶跃信号变化的动态性能确定性能指标来估计系统的响应;基于性能指标和pi控制器增益参数中间值之间的单调关系,为提高性能指标,应用调节方法来估算pi增益参数中间值;最后按照估计的增益参数中间值更新pi控制器的增益以便改善系统的性能。