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

机译:鲁棒控制技术模型识别与实验室倒立摆系统的控制

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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:坚固的控制技术被设计用于反相摆列(IP)系统,以研究预定参数的快速变化的行为。设计的机构具有监控和校准虚拟仪器(VI),该虚拟仪器(VI)是在LabVIEW中构建的。 VI向IP发送步进响应,并获取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代表其动态特性。在本文中,线性参数变化(LPV)控制器旨在迎合参数变化,以提高性能和鲁棒性。此外,设计的坚固控制是在硬件平台上实现的,以显示其有效性。通过比较模拟中的提出的技术和与线性二次调节(LQR)和比例积分衍生(PID)控制器等经典控制器进行比较和实时结果,通过比较所识别的模型。

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