Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
The arithmetic of PID control based on neural network can obtain small speed overshoot and strong anti-interference feature.
在抗干扰特性方面，基于神经网络的PID控制算法有较小的波动，而且调节时间较短；
To improve robustness of control system, the paper analyses the influence of nonlinear factors and introduces the neural network PID auto adaptive control to reduce the influence.
为了增强系统的鲁棒性，论文在分析非线性因素对系统的影响后，利用神经pid自适应控制实现了对这些因素的有效抑制。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
Rotation speed control of marine diesel engine generator is built by the combination of neural network and PID control system.
结合神经网络与PID控制，形成船舶柴油发电机转速神经网络控制系统；
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
The adapted-self tune-up for PID control was completed through learning-self of neural network.
通过神经网络的自学习、实现PID控制参数的自适应调整。
Based on the mathematic model of PMSM, a combination of an improved BP neural network and a general PID controller is used in its speed control system.
在分析永磁同步电机数学模型的基础上，采用改进型BP神经网络与传统PID控制相结合作为速度控制器，应用于永磁同步电机调速系统中。
The computer simulation results show that the neural network supervisory control has more adaptive ability and robust than that of a PID controller, and the control precision is increased.
对压水堆功率控制过程进行了计算机仿真，仿真结果表明，与传统的PID控制相比，神经网络监督控制具有较强的自适应能力和鲁棒性，有效地提高了控制系统的精度。
It is introduced how to build the PID neural network control system, which is applied to the real-time control of furnace temperature.
介绍基于以太网的PID神经网络控制系统的构建及实时控制过程。
An adaptive PID control scheme based on dynamic recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
Then the Neural Network PID control is realised in the model. This method makes full use of nonlinear function approximation of the Neural Network.
这种方法充分利用了神经网络的非线性函数逼近能力，构造神经网络自整定PID控制器。
This paper presents a new kind of intelligence PID control method on BP neural network and some of basic concepts about BP neural network.
本文提出一种基于BP神经网络的新型智能PID控制方法和一些BP神经网络的基本概念。
To overcome the mismatch, with the backward, non-linear characteristics of temperature control of dope production, the paper introduces the predictive controls based on the neural network PID.
为了克服这种不协调现象，针对涂料生产线中温度控制大滞后、非线性等特点，本文在神经网络PID控制的基础上，引入预测控制思想。
The temperature control of dew point humidifier in a fuel cell testing system is studied. A kind of separate integral PID control algorithm based on BP neural network is put forward.
对燃料电池测试系统中露点加湿器的温度控制进行研究，提出了一种用BP神经网络进行参数整定、积分分离的PID控制算法。
Using the capacity of arbitrary nonlinear expressiveness, neural network can help to achieve the best control through learning systemic performance and adjusting automatically PID parameter.
利用神经网络的任意非线性表达能力，通过对系统的学习来调整PID参数，实现最优的PID控制。
Due to the temperature object is delay, the control result is not very satisfactory for the control results of traditional PID, fuzzy control, or neural network control.
由于该温度对象具有滞后特性，采用传统的PID控制、模糊控制或神经网络控制等单一的控制策略效果并不十分理想。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
Neural network PID adaptive control scheme was used to enhance the performance of piezoelectric phase shifter by improving the nonlinear performance and depressing the interference of environment.
采用了神经网络PID自适应控制方法，改善了非线性，降低了环境干扰的影响，提高了压电式 移相器的性能。
On the base of a great deal of reference literatures, intelligent PID control algorithm of ship roll motion based on dyadic wavelet neural network has been proposed.
在研究大量参考文献的基础上，本文提出了船舶横摇运动基于二进小波神经网络整定的智能PID控制算法。
The method of adaptive neural-PID control that combines neural network and PID control is put forward in allusion to shortcoming of conventional PID control for nuclear steam generator water level.
本文针对传统的核动力蒸汽发生器水位PID控制方法存在的缺点，将神经网络方法与PID控制的结构结合起来，提出了核动力蒸汽发生器水位神经自适应PID控制方法。
Aimed at the characteristics of coal bed methane, an air-fuel ratio control method which is based on CMAC neural network and PID is adopted and its arithmetic is elaborated in this article.
针对煤层气的特性，本文提出了一种基于CMAC神经网络和PID复合控制的空燃比控制方法，并对其算法进行了详细的阐述。
Aimed at the characteristics of coal bed methane, an air-fuel ratio control method which is based on CMAC neural network and PID is adopted and its arithmetic is elaborated in this article.
针对煤层气的特性，本文提出了一种基于CMAC神经网络和PID复合控制的空燃比控制方法，并对其算法进行了详细的阐述。
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