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For a class of Shunt-wound Active Power Line Conditioner, based on analysis of mathematical model of system and target of control, the algorithm of fuzzy variable structure sliding mode control is presented. The control algorithm can avoid complicated calculation of harmonic electric current in traditional control algorithm, and realize the feedback control of electric current. The algorithm is simple and easily implemented.

针对一类并联型有源电网调节器在分析系统数学模型和控制目标的基础上,提出了模糊滑模控制策略,避免了传统控制方法中复杂的谐波电流计算,实现对电源电流的闭环控制,该算法简单、易于实现,仿真结果证实了变结构滑模控制的有效性。

The paper also study the variable control of uncertain system and the variable control of time lag system. At last adopt this discrete approach law in Series-wound Active Power Line Conditioner control.

同时对不确定性离散变结构系统和时间滞后不确定系统进行了分析;最后用离散变结构控制方法对串联型有源电网调节器进行控制。

Most LDO regulators before are off-chip so that they are hard to meet the demands of SOC solutions. This thesis is target on SOC applications and analyzes the challenges of stability, transient regulation and line regulation, etc. Trade-off relations between different characterizations are seriously discussed. In order to meet the demand of high precision and self-stability, a newly LDO structure is proposed and design process is carefully described, which manifest many design points. A PMOS is chosen to be the output transistor of this on-chip LDO. To maintain stability, miller capacitor in serious with nulling resistor is used.

以往的LDO大多作为一块独立的芯片难于实现SOC的解决方案,而本文针对集成于SOC的特定应用要求,分析了片上低压降电源调节器在稳定性、瞬态调节、电源调节等诸多方面的难点,论证了各个难点之间所存在的相互折中关系,定义了设计的性能指标,在此基础上,为实现一种高精度、自稳定的片上LDO而提出了一种合理的电路结构,详细描述了电路器件在尺寸选取方面的设计过程,突出了片上LDO中几个主要模块的设计重点。

In allusion to weak point of traditional PID control can't effectively tracking parametric variation of control system ,utilize neural network have predominance that self-study、self-organization、associative memory、concurrent processing and can get satisfactory result in complex control system on the basis of double closed loop,advance apply adaptive linear element network—Adaline network, which has self-learn and self-adjust ability.

在双闭环控制的基础上,针对经典PID调节器不能有效跟踪控制系统参数变化过程这一弱点,利用神经网络具有自学习、自组织、联想记忆和并行处理等功能和对于复杂系统控制可以达到满意效果的优势,提出了采用具有自学习和自适应能力的单神经元网络——Adaline网络,来构成一种神经网络自校正控制器。

At present,the developing trend of PID control is facing more intelligent,self-adaptive,and optimized.

0引言PID调节器及其改进型是在工业控制中最常见的控制器[1-2]。

In software,I used location PID control algorithm to achieve the right systemPID tuning parameters, PID controller is the ratio of integrals,integral saturation correction factor, the parameters such asintegration time, Due to reasons of space calculation unmanifestedas if this thesis, it is in the final process directly give thevalue.

在软件实现中,本人采用位置式PID控制算法来实现对系统PID参数的整定,得到PID调节器的比例、积分、饱和积分修正系数、积分时间等参数,由于篇幅原因计算过程未列如本论文内容中,只是在最后程序中直接赋予各值。

It outputs electric signals proportional to liquid level change, is used with indicating meter, recording meter, controller, computer together and complete liquid level measuring and controlling in the process of technology production.

其输出与液位变化成比例的电信号,与显示、记录仪、调节器、计算机配套使用,实现工艺生产过程的液位测量与控制。

Aiming at the circumstances of time-varying target brightness or multiple targets with different brightnesses,a video amplitude controller feedback system is designed to precisely locate a spot target image on a linear CCD with edge detection by fixed dual thresholds and pixel subdivision by gray weighted centroid algorithm.

针对具有不同亮度的点目标或某点目标亮度不断变化的情形,设计了线阵CCD 视频幅值调节器反馈系统。

Therefore, air conditioners and similar single-function entities are reduced to a control problem.

因此,空气调节器和类似单一行为的实体被简化为控制问题。

Determine heat gain and loss conditions in insulated ducting by reading register temperatures along a run.

沿管线读取通风调节器的温度读数,确定绝缘层的热增量和热损耗。

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