Application of dynamic matrix predictive control in micro-turbine
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Clc Number:

TM61

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National Key R&D Program of China ( No. 2018YFB0905000);State Grid Corporation Science and Technology Project

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    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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History
  • Received:August 14,2019
  • Revised:September 20,2019
  • Adopted:October 03,2019
  • Online: January 20,2020
  • Published: January 28,2020