The plasma density feedback control system（PDFCS） has been established on the Joint Texas Experimental Tokamak（J-TEXT） for meeting the need for an accurate plasma density in physical experiments.It consists of a d...The plasma density feedback control system（PDFCS） has been established on the Joint Texas Experimental Tokamak（J-TEXT） for meeting the need for an accurate plasma density in physical experiments.It consists of a density measurement subsystem,a feedback control subsystem and a gas puffing subsystem.According to the characteristic of the gas puffing system,a voltage amplitude control mode has been applied in the feedback control strategy,which is accomplished by the proportion,integral and differential（PID） controller.In this system,the quantity calibration of gas injection,adjusted responding to the change of the density signal,has been carried out.Some experimental results are shown and discussed.展开更多
In this paper, we present a vision guided robotic ball-beam balancing control system, consisting of a robot manipulator (actuator), a ball-beam system (plant) and a machine vision system (feedback). The machine vision...In this paper, we present a vision guided robotic ball-beam balancing control system, consisting of a robot manipulator (actuator), a ball-beam system (plant) and a machine vision system (feedback). The machine vision system feedbacks real-time beam angle and ball position data at a speed of 50 frames per second. Based on feedback data, the end-effector of a robot manipulator is driven to control the ball position by maneuvering of the inclination angle of the ball-beam system. The overall control system is implemented with two FPGA chips, one for machine vision processing, and one for robot joints servo PID controllers as well as ball position PD controller. Experiments are performed on a 5-axes robot manipulator to validate the proposed ball beam balancing control system.展开更多
无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生...无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生物免疫反馈机理,包括决定应答速度的激活环节和决定稳定效果的抑制环节。用模糊规则来逼近其中的抑制环节,并与PID结合补偿其控制偏差。系统采用双闭环控制,内环为电流环,外环为速度环。Matlab仿真表明,系统超调量小,速度响应快,而且速度响应受电机参数变化影响小,各种外界干扰也得到了很好的抑制,具有较高的控制精度和较好的鲁棒性。通过以TI公司的TMS320F2812 DSP为基础进行的实验可以看出,较之传统PID控制,采用免疫PID控制在无刷直流电机的实时控制中取得了较好的实验效果,具有较好的动态和静态性能。展开更多
基金supported by the National Magnetic Confinement Fusion Science Program(Nos.2014GB103001 and 2013GB106001)National Natural Science Foundation of China(Nos.11305070 and 11105028)
文摘The plasma density feedback control system（PDFCS） has been established on the Joint Texas Experimental Tokamak（J-TEXT） for meeting the need for an accurate plasma density in physical experiments.It consists of a density measurement subsystem,a feedback control subsystem and a gas puffing subsystem.According to the characteristic of the gas puffing system,a voltage amplitude control mode has been applied in the feedback control strategy,which is accomplished by the proportion,integral and differential（PID） controller.In this system,the quantity calibration of gas injection,adjusted responding to the change of the density signal,has been carried out.Some experimental results are shown and discussed.
文摘In this paper, we present a vision guided robotic ball-beam balancing control system, consisting of a robot manipulator (actuator), a ball-beam system (plant) and a machine vision system (feedback). The machine vision system feedbacks real-time beam angle and ball position data at a speed of 50 frames per second. Based on feedback data, the end-effector of a robot manipulator is driven to control the ball position by maneuvering of the inclination angle of the ball-beam system. The overall control system is implemented with two FPGA chips, one for machine vision processing, and one for robot joints servo PID controllers as well as ball position PD controller. Experiments are performed on a 5-axes robot manipulator to validate the proposed ball beam balancing control system.
文摘无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生物免疫反馈机理,包括决定应答速度的激活环节和决定稳定效果的抑制环节。用模糊规则来逼近其中的抑制环节,并与PID结合补偿其控制偏差。系统采用双闭环控制,内环为电流环,外环为速度环。Matlab仿真表明,系统超调量小,速度响应快,而且速度响应受电机参数变化影响小,各种外界干扰也得到了很好的抑制,具有较高的控制精度和较好的鲁棒性。通过以TI公司的TMS320F2812 DSP为基础进行的实验可以看出,较之传统PID控制,采用免疫PID控制在无刷直流电机的实时控制中取得了较好的实验效果,具有较好的动态和静态性能。
