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Robust Predictive Control for Boiler-Turbine Coordinated Control System

机译:汽轮机协调控制系统的鲁棒预测控制

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Boiler-turbine unit is a multi-input multi-output (MIMO) nonlinear system with large time-delay and a lot of disturbances, so that conventional boiler-turbine coordinated control system (CCS) cannot achieve satisfactory performance. In this paper, we consider an output-feedback robust predictive control strategy for boiler-turbine unit affected by immeasurable bounded disturbances. This control strategy combining moving horizon estimation with robust model predictive control is finally formulated as a min-max optimization problem solved by a primal-dual interior-point method. At each sampling time, the optimization criterion is maximized over worst-case estimates of initial state and disturbance sequence and minimized over optimal control sequence. In this way, the controller can effectively reject constrained disturbances. Simulation results verify that this control strategy could provide significant robustness under common disturbances such as slow time-variation of coal low heat value and dead zone characteristics of throttle valve position.
机译:锅炉 - 涡轮机单元是一种多输入多输出(MIMO)非线性系统,具有大的时滞和大量干扰,因此传统的锅炉 - 涡轮机协调控制系统(CCS)无法实现令人满意的性能。在本文中,我们考虑了受不可估量的界限干扰影响的锅炉 - 涡轮机组的输出反馈稳健预测控制策略。该控制策略与鲁棒模型预测控制相结合的移动地平线估计最终将其作为通过原始 - 双内部点法解决的最小最大优化问题。在每个采样时间,优化标准最大化在初始状态和干扰序列的最坏情况估计上,并通过最佳控制序列最小化。以这种方式,控制器可以有效地拒绝受约束的干扰。仿真结果验证,该控制策略可以在常见的干扰下提供显着的稳健性,例如煤的低热值缓慢时变量和节流阀位置的死区特性。

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