Abstract
This article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses proportional–integral action and dynamic computation of the controller’s gains (self-tuning regulator), to maintain performance specifications, even in the presence of parametric disturbances. This architecture offers advantages over other advanced embedded control systems implemented on industrial programmable logic controllers and other hardware platforms. Implementation of controllers on industrial hardware platforms is possible through the Object Linking and Embedding (OLE) for process control communication standard. The implementation for an adaptive controller here proposed was evaluated through experiments using first-order and overdamped second-order systems emulated by hardware-in-the-loop, with a programmable automation controller. Performance of the adaptive controllers was compared to that of conventional proportional–integral controllers, and effectiveness of the former over the latter was demonstrated through the experiments carried out.
Highlights
In industry applications, more than 95% of the used control loops are of the proportional–integral–derivative (PID) type.[1]
The results show that the magnitude of the integral absolute error (IAE) is smaller for the adaptive controller, compared to the conventional one, in most cases
The self-tuning regulator (STR) structure allows to adapt the controller parameters to accomplish a good performance according to the settling time desired and adjust in order to face changes in system parameters
Summary
More than 95% of the used control loops are of the proportional–integral–derivative (PID) type.[1]. The second-order component in equation (16) can be proposed by choosing the maximum overshoot Mpd and settling time tsd, as described before for first-order processes, meaning that it is overdamped.
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