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Event triggered estimator based controller design for networked control system.

Senthilkumar K¹, Avinash Kumar Roy¹, Srinivasan K¹

¹Instrumentation and Control Engineering Department, National Institute of Technology, Tiruchirappalli 620015, India.

ISA Transactions

|September 7, 2021

Summary

This summary is machine-generated.

This study introduces an event-triggered control system for networked control systems (NCS) that reduces energy use and network load. The novel estimator enhances performance and reduces computation, even with noise and model mismatch.

Keywords:

Estimator based controller Event triggered mechanism Lyapunov theory Networked control system Process and measurement noise

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Area of Science:

Control Systems Engineering
Networked Control Systems (NCS)
Stochastic Systems

Background:

Networked control systems (NCS) face challenges from stochastic effects and correlated noises.
Balancing control performance with resource utilization (energy, network bandwidth) is critical in NCS.
Existing methods may struggle with data loss and computational demands.

Purpose of the Study:

To design an event-triggered estimator-based feedback control for NCS.
To mitigate stochastic effects and correlated noises.
To reduce energy consumption and network traffic while maintaining performance.

Main Methods:

Incorporation of a relative error-based event-triggered mechanism (ETM) at the sensor node.
Utilizing a predicted sensor measurement for an estimator during data packet loss or failed events.
Employing orthogonal projections for state estimation within the feedback control design.
Applying Lyapunov theory to establish sufficient conditions for mean-square stability.

Main Results:

The proposed method effectively reduces energy consumption and network traffic.
Performance is improved, and computation burden is reduced, especially with predicted measurements.
Sufficient conditions for mean-square stability are derived.
The recursive structure enables efficient online estimations.

Conclusions:

The developed event-triggered control system is robust to stochastic effects, correlated noises, and model mismatch.
The approach offers a practical solution for resource-constrained NCS applications.
The method demonstrates efficacy in simulations using real-world scenarios.