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- A stability criterion for the predictive PI control system in the presence of process gain variations is derived. 此外,通过根轨迹法,推导出存在增益失配时,预测PI控制系统的稳定性判据。
- Delay Margin for Predictive PI Control System 预测PI控制系统的时滞稳定裕度
- Robust stability of predictive PI control algorithm for delay network 时滞网络预测PI控制算法鲁棒稳定性分析
- Double predictive PI control for integrator plus time delay processes 一类非自衡加纯滞后系统的双预测PI控制
- Double predictive PI control for integrator plus time delay processes and its application 积分加纯滞后系统的双预测PI控制及其应用
- Predictive PI control for multivariable processes and its application in industry 多变量对象的预测PI控制及其工业应用
- Simulation and Application of a Predictive PI Controller for Time-delay Process 一类大时滞过程的预估PI控制器的仿真和应用
- predictive PI control 预测PI控制
- predictive PI controller 预测PI控制
- The first method is that the predictive PI(D) controller is designed by a low order model reduced directly from the process model. 一种方法是直接将高阶滞后对象在频率域内降阶为低阶滞后对象,针对低阶滞后对象设计预测PI(D)控制器;
- The second one is that a controller is first designed by the prescribed performance index, and then the controller is simplified to a predictive PI(D) controller. 另一种方法是按照规定的性能指标设计控制器,并将该控制器在频率域内降阶为具有预测PI(D)控制器的结构形式。
- The results show that this PI controller is effective in LSRM speed control. 仿真结果表明该方法可以很好的用在控制中。
- This paper replace the PI control in the DTC system by HSIC, at the same time construct the simulate model based on matlab language. 运用HSIC(仿人智能控制)控制替代了传统直接转矩控制中常使用的PI控制环节,并且构建了基于MATLAB的电机控制仿真模型。
- Simulation experiment of PI control confirms that the PMSM which elevators use has good performance and can satisfy the requirements of elevators. 通过对PI控制方法的仿真实验;去验证所开发的电梯用的永磁同步电动机驱动系统具有良好的性能;能够很好地满足电梯性能要求.
- The results of simulation and experiment indicate that dynamic response process and speed following of NSTC are better then ones of PI control. 仿真和实验结果表明,神经网络自校正控制的速度跟随性、动态响应过程较之PI控制更好,具有很好的控制效果。
- PI control and fuzzy control are compared on the index of ITAE and COP, the energy-saving principle of fuzzy control is elaborated. 应用此方法对变频空调器采用模糊控制与常规PI控制的ITAE、op、温精度等指标进行对比研究,揭示了模糊控制适应负荷变化能力强、能的机理。
- The experiment proves that it is superior to the classical PI controller. 试验证明比传统的PI控制器优越。
- The interrupt program and subprogram finished the tasks of A/D transform, the scan of the keyboard , digital PI control, the converting of the phase and PWM generating edc . 服务子程序完成A/D转换、键盘扫描、数字PI控制、软件换相、PWM产生等。
- The simulation shows that the proposed method has better dynamic and static characteristic than traditional PI control, and has high precision and robustness. 仿真结果表明该方法较传统PI控制具有更好的动、静态特性,并有较高的精度和鲁棒性。
- The result indicates that the fuzzy model reference learning control has quicker dynamic response and the same steady accuracy as PI control, but its overshoot is slightly larger. 结果表明,模糊模型参考学习控制具有响应快的优点,同时具有与PI控制同样高的稳态精度,但超调量比PI控制稍大。