Model predictive control
2016-08-23
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Application background
Matrix Control Dynamic (DMC) is a typical predictive control algorithm based on non parametric model. Can prevent the system oscillation, improve the dynamic response, improve the stability limit. The control law is used to calculate the optimal results with two times performance index. By minimizing the weighted sum of the sum of the weighted sum of the output errors and the output errors, the weighted coefficients are adjusted to realize the control of the control increment and the output errors.Key Technology
Dynamic matrix control is required to reduce the truncation error, that is, the requirement for N to obtain a large, is not conducive to the control of the online operation, so we should consider trying to reduce the influence of the truncation error.The selection of DMC sampling period should follow the selection principle of T in sampling control. It must not only satisfy the Shannon sampling theorem, but also dematlab
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