预测控制算法

  • 网络FMPC;predictive control
预测控制算法预测控制算法
  1. 针对实际过程控制系统中某些被控变量没有设定值要求只有区域目标约束要求这一特点,提出一种带有输出区域目标特性的多变量预测控制算法(ZMMPC)。

    A multi-variable model predictive control algorithm with output zone goals ( ZMMPC ) is proposed as some controlled variables have no set-point requests but only a zone constraint goal in the practical process control ( systems . )

  2. 在所完成模型的基础应用的控制算法是直接广义预测控制算法(DirectGeneralizedPredictiveControlAlgorithm)进行控制仿真。

    The control algorithm of basic application is generalized predictive control direct algorithm .

  3. pH值的神经网络多步预测控制算法

    PH Neutralization Process Multi step Predictive Control Strategy Based on Neural Network

  4. 本文提出了1种基于BP神经网络的广义预测控制算法,其实质是利用BP神经网络来求取广义预测控制的最优控制律。

    A new generalized predictive control algorithm based on the BP neural networks is proposed .

  5. 单值模型预测控制算法实施简单、容易在DCS层实现而且可以获得良好的控制品质。

    The algorithm is simple and can get good control performance .

  6. 用奇异值分解求解的PI型有约束广义预测控制算法

    The Pi-Type Constrained Predictive Control Algorithm with Singular Value Decomposition

  7. MIMO非线性系统基于I/O扩展解耦线性化的预测控制算法

    Predictive Control Algorithm for MIMO Nonlinear Systems Based on I / O Extended Decoupling Linearization

  8. 基于PAC的预测控制算法研究及改进

    Study and Improvement of Predictive Control Algorithms Based on PAC

  9. 文章最后通过MATLAB软件对智能预测控制算法和PID控制算法进行仿真比较,从而说明了智能预测控制算法的优越性。

    At last , the advantages of SPC are introduced by simulating and comparing SPC and PID control algorithms with MATLAB software tool .

  10. 一种基于LMI的离线预测控制算法

    An Off-line Algorithm of Constrained Predictive Control Model Using Linear Matrix Inequalities

  11. 针对工业系统自动配料过程中配料精度难以控制的问题,提出了一种模糊结合PID的复合型预测控制算法。

    A hybrid predictive algorithm based on Fuzzy and PID was proposed to solve the control difficulty in the process of automatic proportioning .

  12. 航空发动机T-S模型模糊广义预测控制算法设计

    The Design of Fuzzy Generalized Predictive Control Algorithm for T-S Model in Aviation Engine

  13. 针对pH中和过程,提出了一种基于T-S模型的模糊预测控制算法,以实现系统的滚动优化控制。

    A fuzzy predictive control based on T-S model is presented for pH process in order to realize its roll optimization .

  14. 采用Brent优化的核学习单步预测控制算法

    Kernel learning one-step-ahead predictive control algorithm using Brent optimization

  15. 针对具有不同程度非线性的工业被控对象,提出了两种基于LS一SVM建模的预测控制算法。

    Used for industrial process with different degree of non-linearity , two predictive control algorithms based on LS-SVM model are presented .

  16. 将混和智能预测控制算法应用于PH值控制,为其提供了一种新的、更为有效的控制方法。

    Hybrid intelligent predictive control algorithm is applied to the control of PH value , providing a new and more effective control method for the control of PH value .

  17. 针对这一问题Yamamoto.T等人将广义预测控制算法与PID控制算法结合起来形成了基于GPC的PID控制算法。

    To solve this problem Yamamoto . T who combined generalized predictive control algorithm with the PID control algorithm proposed GPC-based PID control algorithm .

  18. 多变量系统Laguerre预测控制算法及其改进

    Laguerre Predictive Control Algorithm of Multi-variable System and its Improvement

  19. 基于Bang-Bang控制的智能开关预测控制算法

    Intelligent Bang-Bang Predictive Control Algorithm Based on Bang-Bang Control

  20. 浙江大学博士学位论文3.针对一类具有严重非线性的复杂被控对象,提出两种基于T-S模糊模型的预测控制算法。

    Two predictive control algorithms based on T-S fuzzy model are presented for a family of complex systems with strong non-linearity .

  21. 通过仿真结果得出,采用广义预测控制算法控制器比常规PID算法的控制器取得更好的控制效果,具有跟踪能力好、超调量小、抗干扰能力强的特点。

    Through the simulation results , the generalized predictive control algorithm control effect is better than conventional PID algorithm , which has current tracking abilities , small overshoot and strong anti-interference ability .

  22. 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。

    There are several predictive control arithmetic . Multi-step temperature predictive control experiment adopts dynamic matrix control method ( DMC ) .

  23. 给出了基于Laguerre函数模型的自适应单值预测控制算法。

    An adaptive single predictive control algorithm based on the Laguerre function model was proposed .

  24. 利用RBF神经网络在线训练算法和广义预测控制算法进行了Wiener型非线性模型预测控制的研究。

    The nonlinear model predictive control based on Wiener model by using the online training algorithm for RBF neural network and generalized predictive control algorithm is studied .

  25. 针对pH值控制系统提出了一种基于神经网络的多步预测控制算法(NMPC)。

    In this paper , a multi step predictive control strategy based neural network model ( NMPC ) is proposed for pH neutralization process control problems .

  26. 介绍了基于时戳的状态预估补偿控制算法,对传统的广义预测控制算法进行改进,使其具有PI控制器的功能。

    After introducing the state prediction arithmetic which based on the time stamp , the improvement of the traditional predictive control is given . The advanced arithmetic possesses the function of PI controller .

  27. 论文采用预测控制算法,在NS2中通过网络实现对被控对象的控制。

    This paper uses predictive control algorithm implementing the control of the plant through the network .

  28. 本文用已建立的发动机神经网络怠速模型,并采用DMC预测控制算法,完成了怠速控制的仿真研究。

    By using the founded neural network model and DMC predict control algorithm , simulation research has been completed on the idle speed control in this pape .

  29. 应用OPC技术,讲述了对现场实时数据的采集以及历史数据的接收方法。通过OPC采集上来的数据,可用于预测控制算法的仿真和优化。

    This paper presents the collection method of real time data and history data applying OPC Technology , MPC and it 's optical arithmetic was done with the collecting data .

  30. 通过预测控制算法对风力机变桨距系统进行调节,风力机非线性模型采用支持矢量回归(SVR)算法进行拟合。

    Model predictive control arithmetic is used for wind turbine pitch control , whose nonlinear model is identified by support vector regression ( SVR ) .