scholarly journals Sampled-data PID Control System with a Sensitivity Function for a Second-order Plus Dead-time System*

2018 ◽  
Vol 23 ◽  
pp. 310-313
Author(s):  
Ryo Kurokawa ◽  
Takao Sato ◽  
Ramon Vilanova ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dead Time ◽  
Sensitivity Function ◽  
Second Order ◽  
Sampled Data ◽  
Time System

scholarly journals Optimal Robust PID Control for First- and Second-Order Plus Dead-Time Processes

2019 ◽  
Vol 9 (9) ◽  
pp. 1934 ◽  
Author(s):  
Takao Sato ◽  
Itaru Hayashi ◽  
Yohei Horibe ◽  
Ramon Vilanova ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dead Time ◽  
Design Method ◽  
Second Order ◽  
Process Models ◽  
Second Step ◽  
Reference Tracking ◽  
First Order ◽  
Pid Tuning

The present study proposes a new design method for a proportional-integral-derivative (PID) control system for first-order plus dead-time (FOPDT) and over-damped second-order plus dead-time (SOPDT) systems. What is presented is an optimal PID tuning constrained to robust stability. The optimal tuning is defined for each one of the two operation modes the control system may operate in: servo (reference tracking) and regulation (disturbance rejection). The optimization problem is stated for a normalized second-order plant that unifies FOPDT and SOPDT process models. Different robustness levels are considered and for each one of them, the set of optimal controller parameters is obtained. In a second step, suitable formulas are found that provide continuous values for the controller parameters. Finally, the effectiveness of the proposed method is confirmed through numerical examples.

Predictive Functional Control for a Pneumatic Cylinder

2015 ◽  
Vol 789-790 ◽  
pp. 932-938
Author(s):  
Yusuke Hashimoto ◽  
Toshiyuki Satoh ◽  
Jun Ya Nagase ◽  
Norihiko Saga
Keyword(s):  
Control System ◽  
Pid Control ◽  
Position Control ◽  
Dead Time ◽  
Pneumatic Cylinder ◽  
Work Support ◽  
Population Decrease ◽  
Predictive Functional Control ◽  
Functional Control ◽  
Pneumatic Cylinders

Japan is becoming a super-aging society, with a population decrease and a shortage of young workers. Mechanisms using pneumatic cylinders are therefore expected to be useful to perform tasks such as day-to-day work support for elderly people. However, pneumatic cylinder includes large dead time. Thereby, traditional control system is complex, such as adding Smith compensation. Therefore, we use Predictive Functional Control (PFC). This control system is not complex even if plant includes dead time. This study evaluates the performance of force and position control systems using a pneumatic cylinder and PFC. We compare the PFC scheme with the PID control and show that PFC achieves better performance than PID control.

Research on Driving System of Battery Machinery Based on PID Controlling

2012 ◽  
Vol 271-272 ◽  
pp. 1619-1622
Author(s):  
Chun Hui Li ◽  
Shao Hua Kang ◽  
Tie Zhuang Wu
Keyword(s):  
Control System ◽  
Dynamic Response ◽  
Dynamic Characteristics ◽  
Pid Control ◽  
Control Algorithm ◽  
Second Order ◽  
Driving System ◽  
Dominant Pole ◽  
Pole Theory

In order to improve the dynamic characteristics and stabliness of control system battery machinery, speed regulating controller uses an improved incremental digital PID.PID parameters is followed the dominant pole theory and the second-order best theory. The simulation of DC electromotor is rapid dynamic response, stability, the smaller overshoot. The experiment proves that battery machinery can work stably and reliably. Therefore, the PID control algorithm of machinery truck driving system is feasible.

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