This paper sums up a lot of PID algorithms, and discusses how these algorithms are brought into configuration. We put out a method which has been used in industry.
本文归纳总结了各种PID算法，重点讨论这些算法如何在组态中实现，介绍了一种实用方法，并成功地应用于工业现场。
This algorithm is with wider application range compared with the other self-tuning PID control algorithms.
该算法与其它自校正PID控制算法相比，具有适用范围更广的特点。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
This dissertation presents the studies of genetic algorithms (GA) based model structure and parameters conjunct identification, PID optimization, and the engineering application method.
本论文是基于遗传算法(GA)的模型结构和参数共同辨识、PID参数的优化整定和工程应用方法的研究。
A new PID intelligent controller is proposed, combined with fuzzy logic controls and genetic algorithms, for AGC of interconnected power systems.
针对互联电力系统自动发电控制(agc)，结合模糊控制和遗传算法提出一种新型的PID智能控制器。
The paper also refers several fuzzy PID intelligent composite control algorithms that are applicable to non-minimum phase system with time delay.
提出了几种适用于时滞及非最小相位系统的模糊pid智能复合控制算法。
This paper has mainly described in detail the research of the high accuracy control of Linear Pulse Motors and the application of bionic optimization algorithms in digital PID control system.
本文主要研究了直线步进电机的高精度控制和仿生优化算法在数字pid控制系统中的应用。
An optimal PID controller is proposed based on fuzzy inference and genetic algorithms, which is called the optimal fuzzy GA PID controller.
提出了一种基于模糊推理与遗传算法的最优PID控制器的设计方法。
Besides the typical PID controlling method, concatenation, feedforward and fuzzy control algorithms are used. As the result, the control functions of the system are efficiently improved.
在控制软件方面除采用经典的PID控制外，还引入了串级、前馈及模糊控制等算法，有效地提高了系统的控制性能。
Design and connect PID in series and control algorithms, realize the debugging index that moves the high-speed, high-accuracy control system at the same time.
设计串联PID控制算法，实现随动控制系统高速、高精度的调试指标。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
A polynomial function supervising PID control method is proposed, which is based on Genetic Algorithms (GAs) for real-time control process.
针对实时控制过程提出一种基于遗传算法的多项式函数监督PID控制。
The Genetic Algorithms and PID control were combined in this paper which were used to revise the parameter of PID.
文中采用遗传算法实现了对PID参数的最佳整定。
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。
To enhance control ability and accuracy, the filter algorithms are adopted by PLC when gathering analog data and implementing the PID algorithm in frequency conversion control.
为了提高控制的效果和精度，文中阐述了关于PLC采集模拟量时的滤波算法及其实现方法，同时给出数字PID算法在变频控制中的实现。
For two kinds of PID controller, we know how to optimize parameter is a key problem. In this paper, we select the Genetic Algorithms as a search way and get good effect.
对于两种PID控制策略来说，最关键的部分在于如何优化控制器参数，在本文中我们采用了遗传算法这一新型的优化搜索方法，并取得了较好的效果。
For two kinds of PID controller, we know how to optimize parameter is a key problem. In this paper, we select the Genetic Algorithms as a search way and get good effect.
对于两种PID控制策略来说，最关键的部分在于如何优化控制器参数，在本文中我们采用了遗传算法这一新型的优化搜索方法，并取得了较好的效果。
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