A Controller Design Method of Bilateral Control System

EPE Journal ◽  
2006 ◽  
Vol 16 (2) ◽  
pp. 22-28 ◽  
Author(s):  
Tobshiaki Tsuji ◽  
Kenji Natori ◽  
Hiroaki Nishi ◽  
Kouhei Ohnishi
2019 ◽  
Vol 52 (7-8) ◽  
pp. 1017-1028
Author(s):  
Tufan Dogruer ◽  
Nusret Tan

This paper presents a controller design method using lead and lag controllers for fractional-order control systems. In the presented method, it is aimed to minimize the error in the control system and to obtain controller parameters parametrically. The error occurring in the system can be minimized by integral performance criteria. The lead and lag controllers have three parameters that need to be calculated. These parameters can be determined by the simulation model created in the Matlab environment. In this study, the fractional-order system in the model was performed using Matsuda’s fourth-order integer approximation. In the optimization model, the error is minimized by using the integral performance criteria, and the controller parameters are obtained for the minimum error values. The results show that the presented method gives good step responses for lead and lag controllers.


2006 ◽  
Vol 126 (5) ◽  
pp. 630-638 ◽  
Author(s):  
Toshiaki Tsuji ◽  
Hiroaki Nishi ◽  
Kouhei Ohnishi

2012 ◽  
Vol 253-255 ◽  
pp. 2080-2085
Author(s):  
Wei Guan ◽  
Zuo Jing Su ◽  
Guo Qing Zhang

In this paper, a mathematical model for ship rudder and fin integrated control system is present. The closed gain shaping algorithm (CGSA) strategy is applied to design an integrated rudder and fin stabilizer to overcome the arbitrary selection of weighting function in H∞ mixed sensitivity robust controller design procedures. The CGSA methods give a relatively more concise and reliable design method for the ship rudder and fin integrated control system. The simulation results show that the ship CGSA rudder/fin integrated controller can satisfactorily achieve roll motion reduction and yaw stabilization simultaneously as well as guarantee the levels of robust stability and control performance in the different sea conditions.


2012 ◽  
Vol 198-199 ◽  
pp. 1147-1151
Author(s):  
Jin Wang

Aiming at the long time-delay and nonlinearity of resistance furnace temperature control, this paper analyzes the shortcomings of PID algorithm, and puts forward temperature fuzzy control system design methods of resistance furnace based on TMS320LF2407A DSP. Fuzzy control algorithm is applied to change the output duty cycle of pulse width modulation (PWM) wave, which achieves power adjustment control of resistance furnace temperature. Through field debugging, the results show that this temperature control system has fast speed of the dynamic response and high steady-state accuracy, and prove that fuzzy controller design method and PWM control measures are correct and effective.


2009 ◽  
Vol 129 (6) ◽  
pp. 649-657 ◽  
Author(s):  
Hiroaki Kuwahara ◽  
Shigeru Susa ◽  
Shoyo Hyodo ◽  
Kouhei Ohnishi

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