Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance

TL;DR

This paper introduces a Stateflow-based network test-bed for validating real-time control algorithms, demonstrating GA-based tuning of PI controllers over a network with simulated stochastic delays and packet issues.

Contribution

It presents a novel real-time test-bed for validating control algorithms and applies genetic algorithm tuning in a networked environment with realistic stochastic delays.

Findings

GA-based tuning improves control performance under network delays.

The test-bed effectively simulates network conditions like delay, packet loss, and out-of-order packets.

Validation shows the approach's robustness in real-time control scenarios.

Abstract

The paper presents a Stateflow based network test-bed to validate real-time optimal control algorithms. Genetic Algorithm (GA) based time domain performance index minimization is attempted for tuning of PI controller to handle a balanced lag and delay type First Order Plus Time Delay (FOPTD) process over network. The tuning performance is validated on a real-time communication network with artificially simulated stochastic delay, packet loss and out-of order packets characterizing the network.