A Novel Method to Design Controller Parameters by Using Uniform Design Algorithm

TL;DR

This paper introduces a new parameter tuning method for controllers using the uniform design algorithm, improving efficiency and reducing time compared to traditional trial-and-error approaches.

Contribution

The paper presents a novel parameter search approach based on uniform design, enhancing controller tuning efficiency and applicability.

Findings

The proposed method effectively finds controller parameters under a performance index.

Simulation results demonstrate superior efficiency and time savings over existing intelligent tuning algorithms.

The approach is validated through two simulation examples.

Abstract

Parameter selection is one of the most important parts for nearly all the control strategies. Traditionally, controller parameters are chosen by utilizing trial and error, which is always tedious and time consuming. Moreover, such method is highly dependent on the experience of researchers, which means that it is hard to be popularized. In this light, this paper proposes a novel parameter searching approach by utilizing uniform design (UD) algorithm. By which the satisfactory controller parameters under a performance index could be selected. In this end, two simulation examples are conducted to verify the effectiveness of proposed scheme. Simulation results show that this novel approach, as compared to other intelligent tuning algorithms, excels in efficiency and time saving.