scholarly journals Construction of PID Control System Based on Generalized Minimum Variance Control

1990 ◽  
Vol 3 (7) ◽  
pp. 205-211 ◽  
Author(s):  
Toru YAMAMOTO ◽  
Hirokazu ISHIHARA ◽  
Sigeru OMATU
Keyword(s):  
Control System ◽  
Pid Control ◽  
Minimum Variance ◽  
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

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

Mathematical Expressions of Controller Poles and Steady Gain of Generalized Minimum Variance Control System

2018 ◽  
Vol 138 (7) ◽  
pp. 846-852
Author(s):  
Shin-ich Yoshinaga ◽  
Tomohiro Henmi ◽  
Akira Inoue ◽  
Akira Yanou ◽  
Mingcong Deng
Keyword(s):  
Control System ◽  
Minimum Variance ◽  
Minimum Variance Control ◽  
Mathematical Expressions

scholarly journals Minimum-Variance Control System with Variable Control Penalty Factor

2020 ◽  
Vol 10 (7) ◽  
pp. 2274
Author(s):  
Ioan Filip ◽  
Florin Dragan ◽  
Iosif Szeidert ◽  
Adriana Albu
Keyword(s):  
Control System ◽  
Design Procedure ◽  
Minimum Variance ◽  
Parameter Estimates ◽  
Minimum Variance Control ◽  
Tuning Mechanism ◽  
Penalty Factor ◽  
Starting Point ◽  
Standard Design ◽  
Self Tuning

The present paper proposes (as the main contribution) an additional self-tuning mechanism for an adaptive minimum-variance control system, whose main goal is to extend its functionality for a large value range of unmeasurable perturbations which disturb the controlled process. Through the standard design procedure, a minimum variance controller uses by default an internal self-tuning mechanism based on the process parameter estimates. However, the main parameter which overwhelmingly influences the control performance is the control penalty factor ( ρ ) . This parameter weights the term that describes the control variance in a criterion function whose minimization is the starting point of the control law design. The classical minimum-variance control involves an off-line tuning of this parameter, its value being set as constant throughout the entire operating regime. Based on the measurement of the process output error, the contribution of the proposed strategy consists in a real-time tuning of the control penalty factor, to ensure the stability of the control system, even under conditions of high disturbances. The proposed tuning mechanism adjusts this parameter by implementing a bipositional switching strategy based on a sharp hysteresis loop. Therefore, instead of the standard solution that involves a constant value of the control penalty factor ρ (a priori computed and set), this paper proposes a dual value for this controller parameter. The main objective is to allow the controlled process to operate in a stable fashion even in more strongly disturbed regimes (regimes where the control system becomes unstable and is usually switched off for safety reasons). To validate the proposed strategy, an induction generator integrated into a wind energy conversion system was considered as controlled plant. Operating under the action of strong disturbances (wind gusts, electrical load variations), the extension of safe operating range (thus avoiding the system disengagement) is an important goal of such a control system.

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