Design of a Data-Oriented Performance Driven Control System Based on the Generalized Minimum Variance Control Law

2019 ◽  
Vol 58 (26) ◽  
pp. 11440-11451 ◽  
Author(s):  
Takuya Kinoshita ◽  
Yoshihiro Ohnishi ◽  
Toru Yamamoto ◽  
Sirish L. Shah
Keyword(s):  
Control System ◽  
Minimum Variance ◽  
Control Law ◽  
Minimum Variance Control

scholarly journals Considerations Regarding the Design of a Minimum Variance Control System for an Induction Generator

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 532 ◽  
Author(s):  
Ioan Filip ◽  
Lucian Mihet-Popa ◽  
Cristian Vasar ◽  
Octavian Prostean ◽  
Iosif Szeidert
Keyword(s):  
Control System ◽  
Power System ◽  
Transmission Line ◽  
Nonlinear Model ◽  
Good Control ◽  
Minimum Variance ◽  
Induction Generator ◽  
Control Law ◽  
Minimum Order ◽  
Minimum Variance Control

This paper presents a comparative analysis regarding a self-tuning minimum variance control system of a double-fed induction generator with load and connected to a power system through a long transmission line. A new complex nonlinear model describing this relationship between the induction generator, electrical consumer, transmission line, and power system is designed and implemented to simulate the controlled plant behavior. Starting from a simplified linear model of this complex plant, obtained through linearization of its nonlinear model around an operating point, the minimum variance control law design is performed by minimizing a cost criterion function. The main goal and also the paper novelty consists of the identification of a minimum order of this linearized model used to design a reduced order control law, which can still provide good control performance.

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 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

Design and Experimental Evaluation of a Performance-Driven PID Controller

2016 ◽  
Vol 28 (5) ◽  
pp. 616-624 ◽  
Author(s):  
Toru Yamamoto ◽  
◽  
Takuya Kinoshita ◽  
Yoshihiro Ohnishi ◽  
Sirish L. Shah ◽  
...  
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Control Method ◽  
Control Unit ◽  
Minimum Variance ◽  
Control Law ◽  
Control Performance ◽  
Temperature Control Unit ◽  
Control Performance Assessment ◽  
A Performance

[abstFig src='/00280005/01.jpg' width='300' text='Outline of the performance-driven PID control system' ] This study proposes a performance-driven control method that performs a “control performance assessment” and a “control system design” from a set of closed-loop data. The method assesses control performance based on the minimum variance control law from closed-loop data. It also calculates a control parameter that improves the control performance from the same closed-loop data by using the fictitious reference iterative tuning (FRIT) method. This method is characterized by not requiring any system model. The effectiveness of this method is verified through a numerical simulation and an application result to a temperature control unit.

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