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Interaction limits in decentralised control architectures

Interaction limits in decentralised control architectures

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The methods for reducing or cancelling crossed interactions studied so far in multivariable systems were based on centralised multiple-input multiple-output (MIMO) controllers, which is also usual in multivariable control literature. How ever, despite the performance advantages of centralised controllers, the great majority of industrial process control applications still rely on decentralised or multiloop control structures. Because of their structural constraints, decentralised controllers are not able to suppress by their own interactions of the plant, which are only taken into account at the controller tuning phase. This is not a trivial problem to be solved. In fact, even when supervisory control tools like model predictive control are employed, the coupling among the loops has to be addressed at the lower level (generally decentralised PI/PID control) because of the long sampling time of the supervisory modes. Therefore, the coupling reduction under decentralised structures is a topic of great interest when considering practical control issues. In this chapter, we shall analyse and address this problem. First, some basic concepts related with this control topology are presented. In particular, the relative gain array (RGA) is introduced as a simple interaction measure, whereas the potential effects of crossed interactions are illustrated through a simple example. Then, the sliding mode reference conditioning (SMRC) technique is exploited here in order to limit the amplitude of decentralised control interactions.

Inspec keywords: three-term control; variable structure systems; decentralised control; PI control; MIMO systems

Other keywords: RGA; multiple-input multiple-output controller; multivariable system; model predictive control; structural constraint; PI control; sliding mode reference conditioning technique; PID control; SMRC technique; decentralised control architecture; supervisory control tool; coupling reduction; interaction limit; MIMO controller; relative gain array; industrial process control

Subjects: Multivariable control systems

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