Networked control of industrial automation systems-a new predictive method

作者：Rahmani Behrooz; Markazi Amir Hossein Davaie^*

来源：International Journal of Advanced Manufacturing Technology, 2012, 58(5-8): 803-815.

DOI：10.1007/s00170-011-3416-1

• Networked control systems
• Delay prediction
• Variable sampling period
• Neural network

A new method for real-time prediction of uncertain network transmission time delays and a method for closed-loop control of manufacturing and industrial plants through networks are introduced. The proposed delay prediction method is based on the multilayer perceptron neural model. In order to minimize the number of neurons in the first layer of the network and hence reducing the computational burden in a real-time implementation, a method for determination of the Markov order of the time delay sequence is presented. Using the predicted delay, and a zero-order hold equivalent discrete-time model of the plant, a time varying state feedback control algorithm with a real-time gain updating strategy is proposed. A sufficient condition for closed-loop stability is also derived using the switching theorem for linear systems. The proposed method is shown, through two industrial networked case studies, namely, a DC motor driving a transportation roller for paper sheets and a milling machine. Simulation studies depict the efficacy of the proposed method in controlling such challenging problems.

• 出版日期2012-1