Integrated Feedback Scheduling and Control Codesign for Motion Coordination of Networked Induction Motor Systems

Dezong Zhao,Qingqing Ding,Richard Stobart,Shangmin Zhang,Chunwen Li

doi:10.1155/2014/578569

Dezong Zhao, Qingqing Ding + Show 3 more

Open Access

https://doi.org/10.1155/2014/578569

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Abstract

This paper investigates the codesign of remote speed control and network scheduling for motion coordination of multiple induction motors through a shared communication network. An integrated feedback scheduling algorithm is designed to allocate the optimal sampling period and priority to each control loop to optimize the global performance of a networked control system (NCS), while satisfying the constraints of stability and schedulability. A speed synchronization method is incorporated into the scheduling algorithm to improve the speed synchronization performance of multiple induction motors. The rational gain of the network speed controllers is calculated using the Lyapunov theorem and tuned online by fuzzy logic to guarantee the robustness against complicated variations on the communication network. Furthermore, a state predictor is designed to compensate the time delay which occurred in data transmission from the sensor to the controller, as a part of the networked controller. Simulation results support the effectiveness of the proposed control-and-scheduling codesign approach.

Highlights

The applications of networked control system (NCS) have been an important trend in modern industry owing to the convenient remote operation and cost-effective installation
This paper investigates the codesign of remote speed control and network scheduling for motion coordination of multiple induction motors through a shared communication network
Considering the common grounds that they are driven by electrical motors and communicate via network, such systems are called networked motion control systems (NMCSs) [12]

Summary

Introduction

The applications of NCSs have been an important trend in modern industry owing to the convenient remote operation and cost-effective installation In such systems, spatially distributed sensors, actuators, and controllers share information through the network instead of complex wiring, resulting in flexible and open architecture. Time delay and packets dropout are the two most important issues to be concerned which would result in NCSs performance deterioration and potential system instability [18] It is important in dealing with the two issues in designing networked motion controllers, such as gain scheduling and sampling period adaptation, for NMCSs being time critical due to their fast dynamics. The scheduling algorithm updates the sampling period and priority of each loop online, such that the global optimization of the NCS is approached.

System Description

Problem Formulation

Networked Speed Controller Design

Integrated Feedback Scheduling

Simulation Results

Conclusions