A Parameter Identification Method for Linear Model of Pump Turbine
A pump-turbine, linear model technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as unsatisfactory data accuracy, difficulty in determining linear model parameters, and operating condition operating boundary migration, etc. Achieve the effect of easy determination of linear model parameters, stable network training results, and low acquisition difficulty
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[0082] 2) The unit is started with no load, and the PID parameters are Kp=0.6, Ki=0.09, and Kd=0.5.
[0084] The parameter boundary is calculated from the measured data of the unit operation as shown in Table 1.
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[0088] In order to ensure the diversity and randomness of the samples, in the boundary domain of the determined parameters [ex, eqx, ey, eqy, eh, eqh]
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