A Study on Extension of Self-Tuning Generalized Predictive Control

• Published in: 2019 4th Conference on Control and Fault Tolerant Systems (SysTol) pp. 397 - 400
• Main Author: Yanou, Akira
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2019
• Subjects: Closed loop systems; Design methodology; Fault diagnosis; Fault tolerant control; Mathematical model; Performance analysis; Predictive control
• ISSN: 2162-1209
• DOI: 10.1109/SYSTOL.2019.8864763

Generalized Predictive Control (GPC) is one of the model-based control methods. The control law is derived through the performance index calculated by sum of squares about the error between reference signal and output prediction and the control input. In this paper, GPC is extended by adding new signal with design parameter. The proposed method has the ability to suppress the influence from noise to output, which is crucial to keep the performance of fault diagnosis or fault tolerant control. Based on the proposed method, the self-tuning controller is constructed and the numerical example is shown to check the characteristics.