Multi-model Intelligent Optimization Predictive Control Method for Boiler Load under Low Load
A boiler load, predictive control technology, applied in control systems, adaptive control, general control systems, etc., can solve the problems of controlled process lag and inertia increase, difficult control, dynamic characteristics changes, etc.
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[0058] This implementation provides a multi-model intelligent optimization and predictive control method for boiler load under low load, including:
[0059] Step 1. Select a typical load point to establish a controlled object model. The method is to do a step response test at each load point to obtain the input and output data fitting to obtain the controlled object transfer function G(s).
[0060] Step 2. Design the predictive controller according to the controlled object model at each load point, the method is as follows: according to the object transfer function, obtain the controllable autoregressive integral moving average (CARIMA) model,
[0061]
[0062] Among them, A(q -1 ), B(q -1 ) is the coefficient polynomial, ξ(k) is a random sequence, representing random noise, y(k) is the output sequence, u(k) is the input sequence, Δ=1-q -1 is a difference operator.
[0063]
[0064] By introducing the Diophantine equation,
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[0066] Among them, E(q -1 ), ...
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