Modular design and implementation of a logic control system for a batch process

2003 ◽  
Vol 27 (7) ◽  
pp. 983-996 ◽  
Author(s):  
Luca Ferrarini ◽  
Luigi Piroddi
Keyword(s):  
Control System ◽  
Modular Design ◽  
Batch Process ◽  
Design And Implementation ◽  
Logic Control

Design and Implementation of Modular FPGA-Based Multiple-Axis Motion Controller for CNC

2011 ◽  
Vol 141 ◽  
pp. 233-238 ◽  
Author(s):  
X.G. Ling ◽  
Qing Li ◽  
Yan Yu Ding ◽  
Zhi Yuan Tang ◽  
Y.Y. Ding ◽  
...  
Keyword(s):  
Control System ◽  
Field Programmable Gate Array ◽  
Modular Design ◽  
Motion Controller ◽  
Complete Control ◽  
Design And Implementation ◽  
Field Programmable ◽  
Gate Array

In this paper, modular design of multiple-axis motion controller for CNC using field programmable gate array (FPGA) technology is studied. The complete control system is implemented by dividing system functions into reconfigurable modules, which have been designed and implemented respectively. The timing simulations have been made to validate the feasibility for the modules. As a result, an incorporated experiment was made to check the entire performance of the controller.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Design and implementation of control system for two-wheeled self-balancing robot

2014 ◽  
Vol 27 (8) ◽  
pp. 750-758 ◽  
Author(s):  
Wenjian Lin ◽  
Hang Zhong ◽  
Fuhai Li ◽  
Xianghui Xiao ◽  
Xinran Qian
Keyword(s):  
Control System ◽  
Design And Implementation ◽  
Balancing Robot
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