Department of Automation, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai 200240, China.
China Ship Development and Design Center, Shanghai, Huaning Road 2931, Minhang District, Shanghai 201108, China.
ISA Trans. 2018 Aug;79:161-171. doi: 10.1016/j.isatra.2018.05.012. Epub 2018 May 25.
As higher requirements are proposed for the load regulation and efficiency enhancement, the control performance of boiler-turbine systems has become much more important. In this paper, a novel robust control approach is proposed to improve the coordinated control performance for subcritical boiler-turbine units. To capture the key features of the boiler-turbine system, a nonlinear control-oriented model is established and validated with the history operation data of a 300 MW unit. To achieve system linearization and decoupling, an adaptive feedback linearization strategy is proposed, which could asymptotically eliminate the linearization error caused by the model uncertainties. Based on the linearized boiler-turbine system, a second-order sliding mode controller is designed with the super-twisting algorithm. Moreover, the closed-loop system is proved robustly stable with respect to uncertainties and disturbances. Simulation results are presented to illustrate the effectiveness of the proposed control scheme, which achieves excellent tracking performance, strong robustness and chattering reduction.
随着对负荷调节和效率提升提出更高要求，锅炉-汽轮机系统的控制性能变得愈发重要。本文提出了一种新颖的鲁棒控制方法，以提高亚临界锅炉-汽轮机单元的协调控制性能。为了捕捉锅炉-汽轮机系统的关键特征，建立了一个非线性控制导向模型，并使用 300MW 机组的历史运行数据进行了验证。为了实现系统线性化和解耦，提出了一种自适应反馈线性化策略，该策略可以渐近消除由模型不确定性引起的线性化误差。基于线性化的锅炉-汽轮机系统，设计了具有超扭曲算法的二阶滑模控制器。此外，闭环系统在不确定性和干扰方面被证明是鲁棒稳定的。仿真结果表明了所提出控制方案的有效性，该方案实现了出色的跟踪性能、强鲁棒性和减少抖振。
