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Model Identification and Control of a Lab Based Inverted Pendulum System Using Robust Control Technique

机译:基于鲁棒控制技术的实验室倒立摆系统的模型辨识与控制

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A robust control technique is designed for Inverted Pendulum (IP) system to investigate the behavior of rapid change in the scheduled parameters. The designed mechanism has a monitoring and calibrating Virtual Instrument (VI) which is constructed in LabVIEW. VI sends a step response to the IP and obtains the transient response data of the system used for model identification. This model is used in control designing part because model of every system represents its dynamic characteristics. In this paper Linear Parameter Varying (LPV) controller is designed to cater for the parameters variations to enhance the performance and robustness. Moreover, the designed robust controlled is implemented on hardware platform to show its effectiveness. The identified model is validated by comparing the proposed technique in simulations and real-time results with classical controllers like Linear Quadratic Regulation (LQR) and Proportional Integral Derivative (PID) controller.
机译:针对倒立摆(IP)系统设计了一种鲁棒的控制技术,以研究计划参数的快速变化行为。设计的机制具有在LabVIEW中构建的监视和校准虚拟仪器(VI)。 VI向IP发送阶跃响应,并获得用于模型识别的系统的瞬态响应数据。该模型用于控制设计部分,因为每个系统的模型都代表其动态特性。本文设计了线性参数变化(LPV)控制器来迎合参数变化,以增强性能和鲁棒性。此外,在硬件平台上实现了所设计的鲁棒控制,以显示其有效性。通过将拟议的技术在仿真和实时结果中与经典控制器(如线性二次调节(LQR)和比例积分微分(PID)控制器)进行比较,可以验证所识别的模型。

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