Genetic algorithm optimized multi-model predication control method
A technology of predictive control and genetic algorithm, which is applied in the field of automation, can solve the problems of reduced accuracy of system model sets, unclear dominant working areas, and different degrees of system influence, so as to reduce influence, improve accuracy and control performance.
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[0067] The present invention will be further described below in conjunction with embodiment
[0068] 1 Establish the multi-model of the electric heating furnace.
[0069] 1.1 According to the working area of the electric heating furnace, it is divided into i equal parts according to the temperature range, and i is the number of working areas to be divided.
[0070] 1.2 Collect the real-time step response data of the electric heating furnace in each working condition interval, and use the data to establish the fractional order transfer function model M of the controlled object i , of the form:
[0071]
[0072] Among them, M i is the i-th sub-model, α 1,i is the differential order of the i-th system, T 1,i is the corresponding coefficient, S is the Laplace transform operator, K m,i is the model proportional gain coefficient, τ m,i is the lag time constant of the model.
[0073] 1.3 The fractional order model can be numerically processed by the Oustaloup approximatio...
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