最后，将这种改进的模糊控制器应用于充电控制当中，设计了一种智能充电系统。
Finally, an intelligent charging system that adopts such improved fuzzy controller is designed in this thesis.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
在炉温和炉压控制回路中，采用了经过改进的模糊控制器，得到了较快的响应特性和较精确的温度、压力控制效果。
A modified fuzzy controller structure which has faster response and higher accuracy is used to control the temperature and the pressure of the furnace.
通过对传统模糊控制器的改进，提出一种新型的适合于变延迟系统的控制方法。
By improving the traditional fuzzy controller, a new kind of control method which is suitable for variable delay system is presented.
本文首先分析基本模糊控制系统存在稳态误差的根本原因，然后有针对性地引入两种插值方法对基本模糊控制器进行改进。
First, this paper analyses the essential cause why a basic fuzzy control system has steady-state error, then incorporates interpolation technique to improve basic fuzzy controller.
提出了一种复合型模糊智能PID控制器的改进方案。
The improvement project for a compound fuzzy intellectual PID controller is presented.
提出一种在线修正pid参数的模糊控制器改进算法。
An improved fuzzy logical algorithm is proposed which is suitable for self tuning parameters online in PID controller.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The controller is derived from the simplification and improvement of the typical inferential controller, and in which fuzzy logic and inference are used to adjust its filter time constant adaptively.
该控制器用具有改进学习算法的神经网络作pid参数调节器，用模糊神经网络对被控对象进行模型辨识。
In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects.
本文通过对普通模糊控制器的改进，研究出一种高精度模糊控制策略，并将其应用于校直机液压伺服控制系统。
This paper proposes a high accuracy fuzzy control strategy which has improved the common fuzzy controller and been applied in the alignment of the straightening hydraulic servo control system.
文章分析了常规模糊控制器存在稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。
The paper analyzes the cause of bad steady state accuracy existed in common fuzzy controller, and puts forward a scheme with mathematical method to improve steady state accuracy of fuzzy controller.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
然后将基于改进后的模糊规则建立的模糊控制器应用到纯时间滞后系统的控制中。
Then the fuzzy controller based on the improved fuzzy table-rotating optimization is designed and applied to the open-loop systems with pure time delay.
在对改进型PID控制器和模糊pid控制器结构分析比较的基础上，给出了FUZZY - PID控制器的控制方案。
Basing on the analysis and the comparison of the betterment PID controller and the fuzzy controller, the scheme of FUZZY-PID controller is given, using double former.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
文中主要介绍了对PID模糊控制器改进的思路、对改进的PID模糊控制器进行设计和改进后的PID模糊控制器可以解决的问题。
This paper mainly explains the innovation of the improved PID fuzzy-based controller, its new design and its capacity in resolving problems.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
仿真结果表明，模糊pid控制器在稳定时间、稳态精度上均比传统PID控制器有较大的改进。
It has been indicated by the simulating results that the fuzzy-PID controller has shorter stable time and smaller stable error compared with the traditional PID controller.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The internal model control(IMC)was improved by using fuzzy control to adjust filter time constant of IMC, and it was applied in boiler combustion system.
研究了母管制蒸汽锅炉控制系统大延迟、大滞后的工作特性，分析了一般模糊-PID控制器的控制特点，在此基础上给出了一种改进算法。
The characteristics of steam boiler temperature control system with large delay and lag is studied. An improved method is presented based on analyzing the characteristics of current Fuzzy-PID control.
本文通过对普通模糊控制器的改进，研究出一种高精度模糊控制策略，并将其应用于校直机液压伺服控制系统。最后对控制系统进行了仿真研究，取得了较为满意的效果。
This paper proposes a high accuracy fuzzy control strategy which has improved the common fuzzy controller and been applied in the alignment of the straightening hydraulic servo control system.
本文分析了常规模糊控制器存在的稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。最后给出的仿真试验结果证明这种方法是有效的。
This paper analyses the cause of a low steady-state accuracy rising from a fuzzy controller, and thus puts forward an interpolation method to upgrade its steady-state accuracy.
本文分析了常规模糊控制器存在的稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。最后给出的仿真试验结果证明这种方法是有效的。
This paper analyses the cause of a low steady-state accuracy rising from a fuzzy controller, and thus puts forward an interpolation method to upgrade its steady-state accuracy.
应用推荐