scholarly journals Direct and indirect self-tuning generalized minimum variance control

2019 ◽  
Vol 16 (2) ◽  
pp. 149-160
Author(s):  
Hayder Kareem ◽  
Ali Abdulrazzak Jasim ◽  
Mohammed Yousif ◽  
Thamer Abdullah
Keyword(s):  
Minimum Variance ◽  
Minimum Variance Control ◽  
Self Tuning

Self-tuning strategy for a minimum variance control system of a highly disturbed process

2019 ◽  
Vol 46 ◽  
pp. 49-62 ◽  
Author(s):  
Ioan Filip ◽  
Cristian Vasar ◽  
Iosif Szeidert ◽  
Octavian Prostean
Keyword(s):  
Control System ◽  
Minimum Variance ◽  
Minimum Variance Control ◽  
Self Tuning ◽  
Tuning Strategy

Self-Tuning Generalized Minimum Variance Control Based on On-Demand Type Feedback Controller

2016 ◽  
Vol 28 (5) ◽  
pp. 674-680 ◽  
Author(s):  
Akira Yanou ◽  
◽  
Mamoru Minami ◽  
Takayuki Matsuno
Keyword(s):  
Design Method ◽  
Strong Stability ◽  
Minimum Variance ◽  
Feedback Controller ◽  
Feedback Signal ◽  
Minimum Variance Control ◽  
On Demand ◽  
Control Objective ◽  
Self Tuning ◽  
Type Feedback

[abstFig src='/00280005/08.jpg' width='300' text='Feedback signal is generated on demand' ] This paper proposes a design method of self-tuning generalized minimum variance control based on on-demand type feedback controller. A controller, such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on, can be extended by using coprime factorization. Then new design parameter is introduced into the extended controller, and the parameter can re-design the characteristic of the extended controller, keeping the closed-loop characteristic that way. Although strong stability systems can be obtained by the extended controller in order to design safe systems, focusing on feedback signal, the extended controller can adjust the magnitude of the feedback signal. That is, the proposed controller can drive the magnitude of the feedback signal to zero if the control objective was achieved. In other words the feedback signal by the proposed method can appear on demand of achieving the control objective. Therefore this paper proposes on-demand type feedback controller using self-tuning GMVC for plant with uncertainty. A numerical example is shown in order to check the characteristic of the proposed method.

Self-Tuning PID Controllers Based on the Strongly Stable Generalized Minimum Variance Control Law

2000 ◽  
Vol 33 (4) ◽  
pp. 511-516 ◽  
Author(s):  
Takao Sato ◽  
Akira Inoue ◽  
Toru Yamamoto ◽  
Sirish L. Shah
Keyword(s):  
Minimum Variance ◽  
Pid Controllers ◽  
Control Law ◽  
Minimum Variance Control ◽  
Self Tuning
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