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- The math model of LSRM, dynamic characteristics, PI controller, sensorless control algorithm and digital motor control platform based on TMS320VC33 are discussed in this paper. 以非线性电感模型为基础,进一步推导,得到基于小信号模型的PI控制器设计方法。
- Fuzzy Self-Tuning PI Control Algorithm for Visual Tracking 视觉跟踪模糊自调节PI控制算法
- 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
- PI control algorithm PI控制算法
- Correct control algorithm is the key of network congestion control. 因此,正确的控制算法是网络拥塞控制的关键。
- The control algorithm uses the increase type PID control algorithm. 系统实时性和控制精度较高。
- 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。
- 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。
- For example the three PI controllers in the FOC algorithm can be instanced in a C program from one generic PI controller written in assembler. 例如三位PI 控制器在FOC 算法可能被举例在一个C 程序从一位普通PI 控制器被写在装配。
- An optimization method of the PI controller parameters with genetic algorithm is developed and applied to freeway ramp metering. 研究遗传算法优化PI控制器的参数,并应用到高速公路匝道控制中。
- 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。
- So the adaptive character of the control algorithm has been enhanced. 将该算法应用到电控气动离合器操纵系统中并进行实验。
- 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.
- An intelligence PID control algorithm based on the expert system was discussed. 讨论了一种基于专家知识的智能PID控制算法。
- 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。
- 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。
- To solve the problem of slow response in PI algorithm, P2I algorithm is proposed by combining the advantage of proportional controller and PI controller. 首先针对PI算法反应速度慢的问题,从结合PI控制器和比例控制器优点的角度出发,提出了P2I算法;
- 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。
- A simple algorithm for solving of the non-fragile robust PI controllers of the SISO system is studied and the parameters of the PI controllers are designed. 考虑到SISO系统的特点，给出了求解强鲁棒PI控制器的简单算法，设计了强鲁棒控制的PI控制器参数。
- Stability condition of the proportional control algorithm is given for a fixed target. 针对固定目标，文中给出了比例控制算法的稳定性条件。
