A modified PI control action with a robust adaptive fuzzy controller applied to DC motor

N.B. Almutairi; M.-Y. Chow; IEEE

doi:10.1109/IJCNN.2001.939071

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A modified PI control action with a robust adaptive fuzzy controller applied to DC motor

N.B. Almutairi, M.-Y. Chow and IEEE

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), Vol.1, pp.503-508 vol.1

2001

DOI: https://doi.org/10.1109/IJCNN.2001.939071

Abstract

Adaptive control

Control systems

Fuzzy control

Fuzzy sets

Fuzzy systems

Pi control

Programmable control

Robust control

Robustness

System performance

In this paper, a robust and adaptive fuzzy controller to modify a well-known PI controller in order to improve the system performance is presented. Robustness is concluded showing that the sensitivity function of the output is bounded. Based on this robust adaptive fuzzy controller, several performance measures of the controlled plant, including the rise time, delay time, settling time, and percentage of maximum overshoot is shown to be highly related to the parameters in certain fuzzy rules of the controller. The sensitivity functions of the relative errors in the performance measures is used to derive these relations. A DC motor with a nonlinear friction model is used to illustrate this method.

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Details

Title: A modified PI control action with a robust adaptive fuzzy controller applied to DC motor
Creators - without role: N.B. Almutairi - North Carolina State University
M.-Y. Chow
IEEE
Publication Details: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), Vol.1, pp.503-508 vol.1
Publisher: IEEE
Identifiers: 9927962708331
Academic Unit: Princess Nourah bint Abdulrahman University
Language: English
Resource Type: Conference proceeding