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Performance assessment of PLA-LP based QFT control algorithms: an experimental study on industrial plant emulator system

机译:基于PLA-LP的QFT控制算法的性能评估:工业工厂仿真器系统的实验研究

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This paper experimentally assesses the performance of recent QFT robust control synthesis algorithms (Makwana and Nataraj in Proceedings of first IEEE international conference on industrial instrumentation and control (ICIC 2015), Pune, India, 2015), called PLA-LP algorithms, on electromechanical systems. An industrial plant emulator that is representative of modern electromechanical plants is used for the experimental studies. The industrial plant emulator offers many control challenges in the form of plant uncertainty, output disturbances, backlash nonlinearity, and friction. To perform in face of these challenges, a robust control system is designed using the PLA-LP algorithms. The performance assurance capability of the control system is then investigated via real-time experiments on the industrial plant emulator. The emulator is experimentally subjected to a variety of tests, such as plant uncertainty, setpoint changes, input and output disturbances, and their various combinations. The obtained experimental results show that the PLA-LP design algorithms indeed assure that the control system performs as per the given robust control specifications.
机译:本文通过实验评估了最新的QFT鲁棒控制综合算法(Makwana和Nataraj在印度工业自动化与控制国际会议(ICIC 2015),印度浦那,2015年举行的第一届IEEE国际会议论文集)上的性能,该算法称为机电系统。代表现代机电工厂的工业工厂仿真器用于实验研究。工业设备仿真器以设备不确定性,输出干扰,反冲非线性和摩擦的形式提出了许多控制挑战。为了应对这些挑战,使用PLA-LP算法设计了强大的控制系统。然后,通过在工业工厂仿真器上进行的实时实验来研究控制系统的性能保证能力。仿真器在实验上经受了各种测试,例如工厂不确定性,设定值变化,输入和输出干扰及其各种组合。获得的实验结果表明,PLA-LP设计算法确实可以确保控制系统按照给定的鲁棒控制规格执行。

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