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Extended Kalman observer based Robust Control of 1DOF TRMS

机译:基于扩展的Kalman观察者的1DOF TRMS的鲁棒控制

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The classical control techniques such as Proportional-Integral-Derivative (PID) deliver excellent quality in the system performances with healthy sensors and actuators. However when failures of sensors and actuators occur, the control over the system goes partially or completely astray. Hence, we explore a robust control technique for the standard laboratory setup of the Twin rotor MIMO System (TRMS) which is similar, up to some extent, to a helicopter in terms of the non-linearities as well as cross interactions. Control algorithms such as robust PID and Extended Kalman (EK) observer - based robust PID are simulated and the system performance is compared with and without sensor and actuator failures. The control efforts are also considered in the tuning process to make sure they fit within the motor capabilities. An observer incorporated along with robust control algorithm for smooth operation. The results show that the implemented robust control methods along with EK observer provide very good performance by offering graceful performance degradation when facing either actuator or sensor failures.
机译:诸如比例积分衍生物(PID)之类的经典控制技术在系统性能和致动器中提供了优异的质量。然而,当发生传感器和执行器的故障时,对系统的控制部分或完全误入歧途。因此,我们探讨了双转子MIMO系统(TRMS)的标准实验室设置的鲁棒控制技术,其在一定程度上与非线性以及交叉相互作用相似。模拟控制算法,如强大的PID和扩展卡尔曼(EK)的观察者的鲁棒PID,并将系统性能与传感器和执行器故障进行比较。调整过程中还考虑了控制工作,以确保它们适用于电机功能。一种观察者以及鲁棒控制算法,用于平滑运行。结果表明,通过在面向执行器或传感器故障时提供优雅的性能劣化,实现的鲁棒控制方法以及EK观察者提供了非常好的性能。

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