Transmission Scheduling Schemes of Industrial Wireless Sensors for Heterogeneous Multiple Control Systems

Area of Science:

• Computer Science
• Control Engineering
• Wireless Communication

Background:

• Transmission scheduling is critical for networked control system stability.
• Wireless networks introduce unreliability impacting control system performance.

Purpose of the Study:

• To develop a novel transmission scheduling framework for guaranteeing stability in heterogeneous multiple control systems over unreliable wireless channels.
• To address the challenge of maximizing minimum slack in stability constraints for diverse control systems.

Main Methods:

• Formulated a constrained optimization problem based on explicit control stability conditions.
• Proposed three transmission scheduling schemes: centralized stationary random access, distributed random access, and Lyapunov-based scheduling.
• Evaluated schemes on heterogeneous multiple control systems under varying link conditions.

Main Results:

• The centralized Lyapunov-based scheduling scheme demonstrated near-ideal performance for control stability.
• Distributed random access proved effective for systems with a small number of links, balancing performance and overhead.
• All proposed schemes offered low computational cost solutions.

Conclusions:

• The proposed framework effectively guarantees control stability for heterogeneous systems over wireless channels.
• Lyapunov-based scheduling is highly effective for robust control stability.
• Distributed random access provides a practical, low-overhead alternative for specific network configurations.