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Performance Analysis of LCL-T Filter Based 2 Stage Single Phase Gird Connected Module with ANN Controller using PV Panel

机译:基于LC-T滤波器的2级单相网连接模块与ANN控制器使用PV面板的性能分析

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Background: The whole thought is to demonstrate the parallel parking framework forself-ruling robots with the help of real-time embedded boards. Autonomous systems are outlinedand developed by considering the non-holonomic requirements. PID controller is used to accomplishthe servo reaction. The path planning scheme is created for parallel stopping of self-rulingvehicles by gaining data from the sensor.Methods: The three vital stages engaged in safety parking are scanning, positioning and maneuvering.The scanning stage filters the stopping condition by ultrasonic separation estimating sensors.The positioning stage advances the vehicle and in reverse. It is mostly used to alter the appropriateseparation from the begin point to turn point before moving. The parallel stopping ofself-ruling robots with non-holonomic requirements are mimicked through MATLAB environmentand prototype implementation is carried out through embedded platform.Results: Initially, open loop response of the non-holonomic vehicle is unstable and nonlinear innature. Therefore the PID controller is used to control the response of the non-holonomic vehiclewith minimum error based on the set point. The goal of this research is to attain the parallel parkingscheme for non-holonomic vehicles, which is attained with the help of real time implementation.This implementation has been carried out using embedded processor with PID algorithm,sensors and actuators.Conclusion: Hence the paper depicts the structure of non-holonomic robotic vehicle and controlwith the help of PID controller. The parallel parking scheme has established using MATLAB programmingand verified with the help of real time prototype. The paper proposed an idea of automatedparking system in contrast to manual parking by the driver. The consumption of space, energyand time are minimized due to the automated parking scheme. Due to human error and negligence,harms such as collisions and accidents are occurred. These harms are reduced by implementingthe parallel parking scheme in an intelligent manner. In future, Fuzzy based PD controllerwill be developed and implemented for the enhancement of parallel parking algorithm in robots.
机译:背景:整个思想是在实时嵌入板的帮助下展示独立停车框架。通过考虑非正度要求开发自治系统。 PID控制器用于实现伺服反应。通过从传感器获取数据,创建路径规划方案。方法:采用安全停车处的三个重要阶段是扫描,定位和操纵。扫描阶段通过超声波分离估计传感器滤除停止条件。定位阶段前进并反向前进。它主要用于改变在移动前从开始点转动的拨款。通过Matlab环境和非正度要求的单行统治机器人的并行停止通过Matlab环境和原型实现模仿,通过嵌入式平台进行。结果:最初,非正度车辆的开环响应是不稳定和非线性的。因此,PID控制器用于控制基于设定点的最小误差的非完整车辆的响应。该研究的目标是为非正度车辆达到平行的帕克米,这是在实时实施的帮助下实现的。本实施方式已经使用嵌入式处理器进行PID算法,传感器和执行器。结论:因此纸张描绘了PID控制器的帮助的非完整机器人车辆和控制器的结构。并行停车方案已经使用MATLAB编程和在实时原型的帮助下确认。本文提出了与驾驶员手动停车相比的自动化节目系统的想法。由于自动化停车方案,空间的消耗量,能量和时间最小化。由于人为错误和疏忽,发生了诸如碰撞和事故之类的危害。通过以智能方式实施并联停车方案来减少这些危害。在将来,基于模糊的PD控制器,可开发和实现,以增强机器人中的并行停车算法。

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