scholarly journals A new approach to estimate the Minimum Variance Control law for Nonminimum phase Multivariable Systems

2019 ◽  
Vol 52 (1) ◽  
pp. 886-891
Author(s):  
Maria A.F. Lima ◽  
Jorge O. Trierweiler ◽  
Marcelo Farenzena
Keyword(s):  
Minimum Variance ◽  
Control Law ◽  
Multivariable Systems ◽  
New Approach ◽  
Nonminimum Phase ◽  
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 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 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

A Study on Minimum Variance Benchmark under Actuator Constrains and Stochastic Disturbances

2015 ◽  
Vol 719-720 ◽  
pp. 431-435
Author(s):  
Qing Yue Zhang ◽  
Yan Ru Xu
Keyword(s):  
Industrial Process ◽  
Minimum Variance ◽  
Control Law ◽  
Stochastic Disturbances ◽  
New Approach ◽  
Index Function ◽  
Control Loops ◽  
Actuator Constraints ◽  
The Mean ◽  
Output Variance

As a benchmark to assess the performance of the control loops, MV (minimum variance) has been widely used in industrial process.MV control gives the lowest achievable output variance when there is no constraint on the actuator. In this paper, it shows that MV controller is no longer optimal and the mean of the output value is non-zero when the constraint is active and the parameter of the disturbance is approaching to one. In order to achieve the lowest variance of the output value, and the mean of the output value can be approaching to zero, a new approach is proposed in this paper. The proposed method is imposing a compensation value on the constrained MV control law, meanwhile, a new performance index function is introduced. As a result, it is believed that this method is more effective to the real industrial process for systems with actuator constraints and stochastic disturbances. Simulation example demonstrates the usefulness of this method.

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