动态矩阵预测控制在微型燃气轮机中的应用
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TM61

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国家重点研发计划资助项目(2018YFB0905000); 国家电网有限公司科技项目“省级电网公司建设能源互联网企业的关键决策支撑技术研究”(1300-201918281A-0-0-00)


Application of dynamic matrix predictive control in micro-turbine
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National Key R&D Program of China ( No. 2018YFB0905000);State Grid Corporation Science and Technology Project

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    摘要:

    可调回热式微型燃气轮机具有多变量、强耦合、非线性、参数时变等诸多复杂的特性,常规控制方法难以满足控制要求。对于两输入两输出的微型燃气轮机控制系统设计,如何准确快速地实现扰动下的稳定输出,是设计控制系统的关键。首先文中基于动态矩阵预测算法设计出预测控制器,并给出误差校正矩阵、误差权矩阵、控制权矩阵和柔化系数矩阵关键控制参数分析;接着在稳定工况点下,设计了转速给定值扰动、燃料量内扰下的预测控制策略;最后基于传递函数模型进行仿真控制分析,结果验证了该控制方法能够更好地符合快速性、鲁棒性和抗扰动的控制要求,并且超调量比常规PID控制方法要小。

    Abstract:

    Adjustable regenerative micro-turbine has many complex characteristics, such as multivariable, strong coupling, non-linearity, time-varying parameters and so on, which conventional control methods are difficult to meet the control requirements. For the design of micro-turbine control system with two inputs and two outputs, how to achieve stable output under disturbance accurately and quickly is the key to design control system. Firstly, a predictive controller is designed based on dynamic matrix prediction algorithm, and the key control parameters of error correction matrix, error weight matrix, control matrix and softening coefficient matrix are analyzed. Then, at the stable operating point, the predictive control strategy is designed under the given speed disturbance and the internal fuel disturbance. Finally, the simulation control analysis based on transfer function model shows that the control method can meet the control requirements of rapidity, robustness and anti-disturbance, and the overshoot is smaller than the conventional PIDcontrol method.

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引用本文

耿健,杜炜,杨冬梅,陈永华,张筱辰,何国鑫.动态矩阵预测控制在微型燃气轮机中的应用[J].电力工程技术,2020,39(1):118-123

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  • 收稿日期:2019-08-14
  • 最后修改日期:2019-09-20
  • 录用日期:2019-10-03
  • 在线发布日期: 2020-01-20
  • 出版日期: 2020-01-28