Adaptive decentralised control of fluid networks with random disturbances

• Published in: IET control theory & applications Vol. 11; no. 18; pp. 3321 - 3328
• Main Authors: Zhu, Song, Wang, Min, Liu, Yingke
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 15.12.2017
• Subjects: adaptive control; adaptive decentralised control; asymptotic stability; control nonlinearities; decentralised control; differential equations; fan branch; flow control; fluid flows; fluid networks; least mean squares methods; mean square exponential stability; nonlinearities; random disturbances; Research Article; stochastic differential equation theory; least mean squares methods; fan branch; adaptive control; decentralised control; asymptotic stability; flow control; differential equations; fluid networks; stochastic differential equation theory; mean square exponential stability; control nonlinearities; nonlinearities; fluid flows; adaptive decentralised control; random disturbances
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2016.1520

This study is devoted to control of fluid networks subject to random disturbance. Adopting stochastic differential equation theory, an improved model is presented to incorporate not only the non-linearities induced by fan branch but also random disturbances. On the basis of the model, combining decentralised control and adaptive control techniques, the mean square exponential stability is proposed. According to the proposed stability, the desired equilibrium of fluid flows could be ensured by setting controllers just related to links. Two engineering examples are provided to show the effectiveness of the proposed method.