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Data-Driven Robust Output Tracking Control for Gas Collector Pressure System of Coke Ovens

机译:焦炉集气压力系统的数据驱动鲁棒输出跟踪控制

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摘要

Disturbances, uncertainties, nonlinearity, couplings, and measurement disturbances exist extensively in the coke oven gas collector pressure system (GCPS) and may deteriorate tracking performance. In this paper, a practical method named data-driven robust output tracking control (DROTC) combining advantages of sliding-mode contr-ol (SMC) and data-driven control (DDC) is proposed for stable pressure control of gas collectors of coke ovens. Unlike the conventional DDC approach, the proposed controller is based on SMC framework, where a novel hybrid control structure and a new data-driven sliding surface are developed to facilitate the controller design. On one hand, the couplings, disturbances, and uncertainties are suppressed owing to the application of the SMC technique and the extended state observer. On the other hand, the stability of the DROTC system with bounded measurement disturbances could also be guaranteed by applying the DDC law. Moreover, the robustness could also be ensured once the sliding mode control system enters into the sliding mode. Finally, simulation and experimental results confirm the validity of the proposed control approach.
机译:焦炉煤气收集器压力系统(GCPS)中广泛存在干扰,不确定性,非线性,耦合和测量干扰,并且可能会降低跟踪性能。本文提出了一种实用的方法,即结合滑模控制(SMC)和数据驱动控制(DDC)优点的数据驱动鲁棒输出跟踪控制(DROTC),以稳定焦炉集气器的压力。 。与传统的DDC方法不同,所提出的控制器基于SMC框架,在该框架中开发了新颖的混合控制结构和新的数据驱动的滑动面,以简化控制器的设计。一方面,由于SMC技术和扩展状态观测器的应用,耦合,干扰和不确定性得到了抑制。另一方面,通过应用DDC定律也可以保证DROTC系统在有限测量干扰下的稳定性。此外,一旦滑模控制系统进入滑模,也可以确保鲁棒性。最后,仿真和实验结果证实了该控制方法的有效性。

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