A novel unified method for time-varying dead-time compensation

Area of Science:

• Control Systems Engineering
• Adaptive Control Theory

Background:

• Dead-time is a common challenge in industrial control systems, degrading performance.
• Existing dead-time compensation (DTC) methods often struggle with time-varying delays.

Purpose of the Study:

• To propose a unified and adaptive procedure for time-varying dead-time compensation.
• To enhance closed-loop robustness and performance in the presence of estimated delays.

Main Methods:

• An adapted Filtered Smith Predictor (FSP) is employed.
• The FSP is coupled with a delay estimation scheme and two adaptive Linear Parameter Varying (LPV) blocks.
• LPV blocks autonomously regulate closed-loop robustness based on estimated delay.

Main Results:

• The proposed DTC method demonstrates superior reference tracking, noise attenuation, and disturbance rejection.
• Simulations confirm enhanced performance and uncertainty handling capabilities.
• The method effectively balances robustness and performance objectives for unstable and integrative processes.

Conclusions:

• The novel DTC method offers significant performance improvements over existing literature.
• The adaptive nature allows for autonomous robustness regulation and easy tuning.
• This approach provides a versatile solution for complex control challenges with dead-time.