Abstract

Communication technologies are being continuously developed to provide improved support of real-time links for an industrial Internet of Things. This article considers a general and flexible distributed control architecture over real-time links. No bounds are assumed on the value of delays that are modeled as random variables. An accurate modeling and analysis framework is provided and the exact value of a control performance cost function is calculated. The results provide the required tools for optimization-based design of distributed networked control systems. A case study is presented in which networked controllers are designed based on the consensus algorithm for coordination of multiple parallel power electronic converters. It is shown that consideration of the communication effects in the controller design process is crucial for achieving superior performance.

Highlights

  • One of the current challenges in the field of automatic control is dealing with networked control systems (NCSs) in which communication networks are used for transferring information between distributed controllers, sensors, and atuators

  • A non-conservative design framework has been proposed in this work for distributed control systems over real-time network links

  • The value of a quadratic cost function is calculated for such a stochastic model

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Summary

INTRODUCTION

One of the current challenges in the field of automatic control is dealing with networked control systems (NCSs) in which communication networks are used for transferring information between distributed controllers, sensors, and atuators. There are various forms of communication constraints where many of them such as network-induced delays and packet losses can be modeled and treated as upper bounded time varying delays [8], [9], [10], [2]. A general distributed control structure over real-time network links is considered. The communication delays in each link are modeled as random variables without any assumption on the probability distribution of delays. An accurate stochastic model is obtained for the distributed NCS over real-time links such that a non-conservative analysis is made possible. To demonstrate an application of the results, a case study is provided in which a distributed NCS is designed based on the consensus algorithm for coordinating three parallel converters by taking the effects of communication into account.

SYSTEM DESCRIPTION
Real-time communication links
Equations of the NCS components
Combining the plant model with communication effects
NCS MODELING
Integration of the model components
COST-BASED ANALYSIS
Convergence of the cost
Calculation of the cost
Including setpoints
Networked distributed control
Design and simulation
CONCLUSIONS
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