The parameterization of all stabilizing two-degree-of-freedom modified repetitive controllers for multiple-input/multiple-output plants

2015 ◽  
Author(s):  
Yun Zhao ◽  
Tatsuya Sakanushi ◽  
Kou Yamada ◽  
Natnari Smitthimedhin ◽  
Hiroki Yamaguchi
Keyword(s):  
Multiple Input Multiple Output ◽  
Degree Of Freedom ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Two Degree Of Freedom

A design method for two-degree-of-freedom multi-period repetitive controllers for multiple-input/multiple-output systems

2011 ◽  
Vol 44 (1) ◽  
pp. 5753-5758 ◽  
Author(s):  
Zhongxiang Chen ◽  
Kou Yamada ◽  
Tatsuya Sakanushi ◽  
Iwanori Murakami ◽  
Yoshinori Ando ◽  
...  
Keyword(s):  
Design Method ◽  
Multiple Input Multiple Output ◽  
Degree Of Freedom ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Two Degree Of Freedom

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

Rudder/Fin Roll Stabilization of the USCG WMEC 901 Class Vessel

1999 ◽  
Vol 36 (03) ◽  
pp. 157-170
Author(s):  
Jerrold N. Sgobbo ◽  
Michael G. Parsons
Keyword(s):  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Cross Coupling ◽  
Degree Of Freedom ◽  
Rolling Motion ◽  
Rolling Moment ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Three Degree Of Freedom ◽  
The U.S

The U.S. Coast Guard's 270-ft Medium Endurance Cutter (WMEC) operates with an active fin stabilization system. This system was designed using a one-degree-of-freedom (1-DOF) model in the roll direction. The controller was designed separate from the heading autopilot. The effects of the rudders and their ability to produce a significant rolling moment were also neglected as well as the cross coupling of roll motions into other degrees of freedom. This paper studies the effects of the rudders on the rolling motion of the ship using a three-degree-of-freedom (3-DOF) model. A simple optimal heading autopilot is designed and combined with the existing fin roll controller to investigate the effects of the rudders on the roll motions of this class of vessel. A rudder roll controller and a multiple input-multiple output (MIMO) rudder/fin controller are designed as well. Significant roll reduction can be achieved using the MIMO rudder/fin controller.

A Design Method for Two-Degree-of-Freedom Modified Smith Predictors for Multiple-Input/Multiple-Output Time-Delay Plants

2011 ◽  
Vol 497 ◽  
pp. 221-233
Author(s):  
Nghia Thi Mai ◽  
Kou Yamada ◽  
Yoshinori Ando ◽  
Iwanori Murakami ◽  
Tatsuya Hoshikawa
Keyword(s):  
Time Delay ◽  
Design Method ◽  
Multiple Input Multiple Output ◽  
Point Of View ◽  
Smith Predictor ◽  
Degree Of Freedom ◽  
Modified Smith Predictor ◽  
Input Multiple Output ◽  
Output Time ◽  
Two Degree Of Freedom

The modified Smith predictor is well known as an effective time-delay compensator fora plant with large time-delays, and several papers on the modified Smith predictor have been published.Recently, the parameterization of all stabilizing modified Smith predictors for time-delay plantswas obtained by Yamada et al. But, their method cannot specify the input-output characteristic andthe feedback characteristic separately. From the practical point of view, it is desirable that the inputoutputcharacteristic and the feedback characteristic are specified separately. In this paper, we proposethe parameterization of all stabilizing two-degree-of-freedom modified Smith predictors for multipleinput/multiple-output time-delay plants.

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