Conference paper
A PID autotuner utilizing GPC and constraint optimization
A solution to the PID autotuning problem is presented which involves constraining the parameters of a discrete second-order discrete-time controller. The integrator is forced into the regulator by using a CARIMA model. The discrete-time regulator parameters are calculated by optimizing a generalized predictive control criterion, and the PID structure is ensured by constraining the parameters to a feasible set defined by the discrete-time Euler approximation of the ideal continuous-time PID controller.
The algorithm is extended by incorporating constraints on the amplitude and slew-rate of the control signal. Simulation studies for a system of coupled tanks have indicated that the method performs well, and that signal limitations can be included in a straightforward manner
| Language: | English |
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| Publisher: | IEEE |
| Year: | 1990 |
| Pages: | 1475-1480 |
| Proceedings: | 29th IEEE Conference on Decision and Control |
| Types: | Conference paper |
| DOI: | 10.1109/CDC.1990.203857 |
| ORCIDs: | Ravn, Ole |
Adaptive control Automatic control CARIMA model Constraint optimization Control systems Industrial control PID autotuner Programmable control Regulators Robust control Three-term control Tuning adaptive control amplitude constraints constraint optimization coupled tanks discrete second-order discrete-time controller discrete time systems discrete-time Euler approximation generalized predictive control predictive control self-adjusting systems slew rate constraints three-term control
