通过继电反馈辨识方法获得被控对象模型参数。
The model parameters of controlled objects were obtained with relay feedback identification method.
与模糊控制相比，不需要人类直接控制被控对象的经验。
Compare with fuzzy control system design, it does not require human direct experience of controlling an object to be controlled as well.
常规PID控制易于建立线性温度控制系统被控对象模型。
Routine PID control was easy to establish linear temperature controlled object model.
首先，根据被控对象传递函数和灵敏度分析，简化被控对象逆模型。
Firstly, according to analyzing both the transfer function of the object and the sensitivity, the inverse model of the object is simplified.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
基于对被控对象传递函数的估计，提出一种闭环pid参数整定方法。
Based on the estimation of a controlled plant's transfer function model, a method for the self-tuning of PID controllers in closed-loop system is proposed.
远程控制就是指利用计算机通过网络系统实现对远程被控对象的控制。
Remote control is the control, which realizes to control the remote object by computer.
该系统特别适合那些具有纯滞后特性被控对象的控制，有效抑制系统振荡。
The system is suits the controlled plants with pure delay property especially. It can restrain the oscillation of the system.
只需设计一组控制器参数，就可具有较强的适应被控对象参数变化的能力。
The proposed controllers have a strong adaptive characteristic to varying parameters without switching controllers compared with the additional method.
一个高阶被控对象含有几个小时间常数惯性环节时，可简化成低阶时滞系统。
When a high order controlled plant contains several small time constant inertia units, it can be simplified to low order time-delay system.
对于这样一个复杂的被控对象，传统的反馈控制理论方法不能保证其性能最优。
For such a complicated plant model, classic feedback control theory can't guarantee it's optimal performance.
锅炉燃烧系统是典型的复杂被控对象，常规的控制方案难以取得满意的控制效果。
The boiler combustion system is a typical complex controlled object, and the routine PID control method can't obtain satisfied results.
但无论是经典控制理论还是现代控制理论，都需要事先知道被控对象的数学模型。
But whether classical control theory or modern control theory need to know the mathematical model of the controlled plant.
基于被控对象建模的仿真调试方法是PLC控制程序调试过程中一种重要的调试手段。
The emulation debugging method based on the modeling of the controlled object is an important debugging method during the debugging of PLC controlling program.
在辨识被控对象的脉冲响应模型时，现有算法是建立在其脉冲响应序列长度不变的基础上。
Present algorithm treats the length of impulse response sequence constant when identifying the model of object.
该控制器由等效扰动信号、被控对象、对象模型、内模控制器、反馈滤波器及参考输入滤波器组成。
The PID controller is composed of the equivalent interference signal, the controlled objects, the object model, IMC, feedback filter and reference input filter.
依据测量模块的检测与诊断信息，数据处理模块得知被控对象的结构与参数变化并实施相应控制措施。
The change parameters and structure of controlled objects was got form data process module, and then took correspondent measures according to the examination and diagnosis information.
改进算法可有效减小截取被控对象时间响应(单位方波或单位阶跃响应)有限序列为内模的截断误差。
The improved algorithms can reduce significantly the truncated error of the truncating unit pulse (or step) response time-sequence of the controlled process as the internal model.
建立了被控对象的模糊模型，在模糊模型的基础上，完成了模糊控制器的设计、模糊控制规则的建立。
On Basis of on fuzzy model that has been set up, the design of fuzzy controller and the rule of control have been finished.
设计了一种多极混合自适应控制器，解决了高阶复杂被控对象在以往的自适应控制中出现的不稳定问题。
A many grades hybrid adaptive controller is designed, the problem that high step and complicate controlled object is unstable in tradition adaptive control system is solved.
仿真结果表明，在没有被控对象先验知识的情况下，利用该方法能准确地建立连续非线性系统的逆模型。
Simulation results show that the presented method can accurately construct the inverse dynamic model of the continuous nonlinear system even without prior knowledge about the controlled plant.
利用温度传感器测到被控对象的温度信号与设定温度值进行PID调节，从而控制高频输出功率的大小。
Temperature sensor will be used to measure the temperature signal and build temperature for PID adjusting to realize the automatic output high frequency power.
对含有有界扰动和参数不确定性的离散时间被控对象建立多个辨识模型，覆盖被控对象的参数不确定性。
Multiple models were set up to cover the parameter uncertainty of a discrete time system with bounded disturbance and uncertain parameters.
提出了在网络传输信号的时间间隔内依据被控对象模型计算控制信号的开环控制方法，以减少对网络的使用。
The open-loop control method of computing control signal based on plant model at intervals of state signal through network is proposed for reducing the usage of the network.
针对当前城市交通系统中的被控对象具有较大的随机性和偶然性，引入了不需要建立精确数学模型的模糊控制。
This design USES fuzzy control theory which doesn't require exact mathematical model because of the randomness of the controlled objects in the current city traffic control system.
从仿真结果来看，模糊pid自整定算法极大的改善了系统的控制性能，使被控对象有更好的动、静态性能。
According to the result of simulation, we can find the fuzzy PID algorithm has improved the control effectiveness and dynamic and static performance of system significantly.
从仿真结果来看，模糊pid自整定算法极大的改善了系统的控制性能，使被控对象有更好的动、静态性能。
According to the result of simulation, we can find the fuzzy PID algorithm has improved the control effectiveness and dynamic and static performance of system significantly.
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