scholarly journals A Design of Self-Tuning PID Controllers Based on the Generalized Minimum Variance Control Law

1998 ◽  
Vol 11 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Toru YAMAMOTO ◽  
Masahiro KANEDA
Keyword(s):  
Minimum Variance ◽  
Pid Controllers ◽  
Control Law ◽  
Minimum Variance Control ◽  
Self Tuning

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

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

Adaptive modal vibration control for smart flexible beam with two piezoelectric actuators by multivariable self-tuning control

2020 ◽  
Vol 26 (7-8) ◽  
pp. 490-504
Author(s):  
Ting Zhang ◽  
Hongguang Li
Keyword(s):  
Free Vibration ◽  
Piezoelectric Actuators ◽  
Minimum Variance ◽  
Smart Structure ◽  
Dynamical Model ◽  
Control Voltage ◽  
Control Law ◽  
Flexible Beam ◽  
Mode Superposition Method ◽  
Self Tuning

It has been popular for decades that the vibrations of space structures are suppressed with smart actuators. However, the higher mode vibrations are often motivated when a control strategy is applied to attenuate the vibration for the smart structures. Moreover, if the multi-mode vibration of a smart structure is suppressed with multi-actuators, a proper multivariable control law will be adopted to solve the coupling problem caused by the multi-actuators of the smart structure. Therefore, in the paper, a decoupling technique for two modal vibrations of a smart flexible beam with two piezoelectric patches is adopted by adaptive control. The proposed control law is designed with a multivariable minimum variance self-tuning control. Considering the first two orders of modal vibrations, two piezoelectric patches are configured on the flexible beam according to the strain of the first two orders of modal vibrations along the longitudinal direction of the beam. A dynamical model for the flexible beam with two piezoelectric actuators is constructed by the mode superposition method. With the dynamical model, simulations are implemented to suppress the free vibration of the flexible beam. Moreover, experiments are carried out to verify the effectiveness of the multivariable minimum variance self-tuning control for vibration suppression of the flexible structure. The control results clearly show that the free vibration amplitude of the cantilevered beam with two control voltages applied to the two piezoelectric patches is less than that with one control voltage applied to the first piezoelectric actuator. Thus, multivariable minimum variance self-tuning control is a more efficient approach for suppressing multimodal vibration for a smart flexible beam with two piezoelectric actuators compared with the conventional velocity feedback control.

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 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.

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