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Self-tuning generalized predictive control with input constraints

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Królikowski A., Jerzy D.

International Journal of Applied Mathematics and Computer Science

2001

tom 11

nr 2

459-479

The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAXARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Jerzy D.

1 Królikowski A.

1 2001

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Self-tuning generalized predictive control with input constraints