Output Predictive PI(OPPI) is a new method used in process control.
输出预报式PI控制是一种适用于工业过程的新型控制方法。
A kind of double predictive PI (DPPI) controller for integrator plus time delay process is proposed.
提出了一类基于非自衡加大纯滞后过程的双预测PI控制器的结构形式。
Finally, the Predictive PI Controller designing with Linear Phase Advance Filter as predictor is introduced.
最后，进行了预测项采用线性相位超前滤波器的预测PI控制器的设计。
Based on the model reduction theory in frequency-domain, two predictive PI (d) controller design methods for high order processes with time-delay are proposed.
利用频率域模型降阶理论，提出了高阶时滞对象的预测PI (D)控制器两种设计方法。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
A single neuron PI controller with predictive model is designed according to nonlinear systems of many industry processes and practical plants.
针对工业过程和实际控制对象的慢时变非线性的特点，设计了一种预测模型的单神经元PI控制器。
The Fuzzy-predictive control system uses the Fuzzy-PI control algorithm of parameter self-adjusting and the design process of off-line key part of fuzzy controller in this system is given in detail.
该模糊预测控制系统采用了带参数自整定的模糊-积分复合控制算法，详细给出了离线部分的设计过程，并提出了可用于工程实现的参数自整定算法。
The Fuzzy-predictive control system uses the Fuzzy-PI control algorithm of parameter self-adjusting and the design process of off-line key part of fuzzy controller in this system is given in detail.
该模糊预测控制系统采用了带参数自整定的模糊-积分复合控制算法，详细给出了离线部分的设计过程，并提出了可用于工程实现的参数自整定算法。
应用推荐