There are many methods to design self-tuning PID controllers.
设计自校正PID调节器的方法有多种。
In theory, many AQM mechanisms can be reduced to he PID controllers.
理论上，很多AQM机制可以最终归结为PID控制器。
Most of real industrial processes are controlled by PID controllers.
过程控制中，大量控制系统是由基本PID控制单元组成。
This paper proposes a general method of automatic tuning PID controllers.
提出了一种自整定pid控制器的一般设计方法。
This paper summarizes a new method for the auto-tuning of PID controllers.
本文给出了一种自整定pid控制器的新方法。
Fuzzy PID control system is the combination of fuzzy theory and PID controllers.
模糊pid控制系统就是模糊理论与传统的PID控制器的结合。
PID controllers for interpolation points are designed by Z - N setting empirical formula.
应用Z-N整定经验公式，对插值点进行了PID控制器设计；
The designed lead, lag, lag-lead and PID controllers have same form and extensive practical value.
设计的超前、滞后、滞后—超前和PID校正器，形式相同，实用价值大。
Subarea control strategy is given: different PID controllers are designed depended on error and its derivation.
采用了分区控制思想，根据不同的误差和误差变化趋势，采用了不同的PID控制策略。
The results show that the proposed control system works well in this case, and performs better than other PID controllers.
为了方便设计六自由度的飞行控制系统，引入了带有约束指令滤波的自适应退步控制算法。
This paper studies optimal tuning of PID controllers and its robust performance evaluation for under-damped plants with time delay.
研究了带有纯延迟的欠阻尼对象最优PID控制器的参数整定及性能鲁棒性评价问题。
There are many industrial Processes with time-delay dynamics, Conventional PID controllers can usually not regulate them very well.
许多工业控制对象具有纯滞后的动态特性，常规PID控制方式对这类对象显得无能为力。
However, the theory of robust stability and robust performance is still useful and can be introduced into the synthesis of PID controllers.
但是鲁棒稳定性和鲁棒性能的思想应该而且可以引入到PID控制系统设计中。
Most commercial robot systems currently are equipped with conventional PID controllers due to their simplicity in structure and ease of design.
现有的商业机器人系统使用传统的PID控制器，因为PID控制器结构简单、易于设计。
The differential forward PID controller is one of the perfect PID controllers improved methods, which is fit to the condition of input frequent changes.
微分先行PID是理想型PID改进中的一种，它适合于给定值频繁变化的情况。
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.
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。
A tuning method for decentralized PID controllers was developed based on probabilistic robustness for use in multi-input-multi-output plants with varying parameters.
基于概率鲁棒方法，针对具有实参数不确定性的多输入多输出被控对象，提出一种分散PID控制器设计方法。
Nowadays, single loop PID controllers are still being employed in about 80%to 90%of the control systems. However, interactions exist in many complex industry systems.
当前，生产现场控制回路约80%—90%采用单回路PID，然而在一些大型的复杂的工业生产过程中，系统的各个回路之间存在着耦合现象。
Finally, the designed PID controllers have been used to make some experiments on multi-tank liquid level system, acquiring processing curve and experimental datas through configuration software.
最后，用设计的PID控制器在多容液位系统上进行实验，通过组态软件获得过渡过程曲线和实验数据。
The parameters of the PID controllers, however, are very much dependent on the accuracy of the models. This paper studies the control algorithms for aeroengines based on intelligent optimization.
本文重点研究如何利用先进的智能优化算法改进传统的发动机控制系统，并进一步对前沿的智能控制算法及其研究方向进行探索性研究。
The parameters of the PID controllers, however, are very much dependent on the accuracy of the models. This paper studies the control algorithms for aeroengines based on intelligent optimization.
本文重点研究如何利用先进的智能优化算法改进传统的发动机控制系统，并进一步对前沿的智能控制算法及其研究方向进行探索性研究。
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