scholarly journals Erratum: Predictive Functional Control of Stiffness-changeable Finger Using Soft Rubber Device [Transactions of the Society of Instrument and Control Engineers Vol.48 (2012) No.8 pp.470-478]

2012 ◽  
Vol 48 (10) ◽  
pp. 686-686
Author(s):  
Jun-ya NAGASE ◽  
Toshiyuki SATOH ◽  
Shuichi WAKIMOTO ◽  
Norihiko SAGA ◽  
Koichi SUZUMORI
Keyword(s):  
Predictive Functional Control ◽  
Functional Control ◽  
And Control ◽  
Soft Rubber

scholarly journals Predictive Functional Control of Stiffness-changeable Finger Using Soft Rubber Device

2012 ◽  
Vol 48 (8) ◽  
pp. 470-478 ◽  
Author(s):  
Jun-ya NAGASE ◽  
Toshiyuki SATOH ◽  
Shuichi WAKIMOTO ◽  
Norihiko SAGA ◽  
Koichi SUZUMORI
Keyword(s):  
Predictive Functional Control ◽  
Functional Control ◽  
Soft Rubber

scholarly journals Comparison of PFC Controllers for Heating Process

2019 ◽  
Vol 95 ◽  
pp. 03005
Author(s):  
Piotr Laszczyk
Keyword(s):  
Experimental Data ◽  
Internal Model ◽  
Dead Time ◽  
Heating Process ◽  
Time Varying ◽  
Industrial Control ◽  
Predictive Functional Control ◽  
Programming Effort ◽  
Functional Control ◽  
And Control

The paper presents research with Predictive Functional Control (PFC) for fluid heating process. Two types of models are proposed and used as internal models for PFC algorithm. The first one includes all nonlinearities that are captured in the process, while the second one includes additionally time varying dead time. Both models were calibrated and verified using experimental data. The paper compares performance of two PFC versions based on mentioned models to indicate the profit of including dead time in model based predictive (MPC) control. Experimental results indicate that including dead time in controller’s internal model result in better performance. Although including varying dead time in controller requires extra programming effort and implementation considerations. All identification and control experiments, which are presented in the paper, were made using experimental installation equipped with industrial control equipment.

Based on PFC Prediction Algorithm of Cross-Cutting Machine Electronic CAM Control Simulation

2014 ◽  
Vol 1044-1045 ◽  
pp. 734-737 ◽  
Author(s):  
Meng Tao Huang ◽  
Yan Jun Zhou
Keyword(s):  
Predictive Control ◽  
Control Algorithm ◽  
Prediction Algorithm ◽  
Feed Speed ◽  
Predictive Functional Control ◽  
Cutting Machine ◽  
Advanced Control ◽  
Functional Control ◽  
And Control ◽  
Cam Model

Predictive functional control (PFC) is an advanced control algorithm, it belongs to the model predictive control. Electronic CAM is an important component of cross-cutting machine, is driven by servo motor, its structure and control performance determines the length of paper cutting. Around the PFC algorithm and the control of electronic CAM, this paper aimed at the speed of the cutter and the paper feed speed synchronization problems and have to cut the length of the paper is different, is put forward based on the predictive functional control (PFC) algorithm to predict the change of parameters of electronic CAM model itself. In this article, through the simulation, proving that PFC algorithm has strong anti-interference ability, traceability and stability.

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