SYROOct 30, 2020

Time regularization as a solution to mitigate quantization induced performance degradation

arXiv:2011.01520v11 citations
AI Analysis

This addresses a practical issue in high-precision motion control systems, though it appears incremental as it applies an existing technique (time regularization) to a specific problem.

The paper tackles performance degradation caused by quantization in reset control systems for motion control by applying time regularization, achieving an estimated 10 dB reduction in degradation in simulations and several dB reduction in experimental validation.

Reset control is known to be able to outperform PID and the like linear controllers. However, in motion control systems, quantization can cause severe performance degradation. This paper shows the application of time regularization to mitigate this practical issue in reset control systems. Numerical simulations have been conducted in order to analyze the cause of the quantization induced performance degradation and the effectiveness of time regularization to mitigate this degradation; with tuning guidelines for the time regularization parameter also provided. Moreover, a robustness analysis is performed. The solution is also tested experimentally on a high precision motion system for validation. It is estimated by numerical simulations that time regularization can reduce quantization induced performance degradation by almost 10 dB. Experiments have similarly shown a reduction of several dB for the high precision motion stage.

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