scholarly journals A PSO-Based Recurrent Closed-Loop Optimization Method for Multiple Controller Single-Output Thermal Engineering Systems

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 784 ◽  
Author(s):  
Xingjian Liu ◽  
Lei Pan
Keyword(s):  
Control System ◽  
Closed Loop ◽  
System Optimization ◽  
Optimization Method ◽  
Thermal Engineering ◽  
Engineering System ◽  
Loop Optimization ◽  
Simulation And Optimization ◽  
Single Output ◽  
Multiple Controller

For solving the problems of closed-loop optimization on controller parameters of multiple-controller single-output thermal engineering system, this paper proposes a recurrent optimization method that is based on the particle swarm computing and closed-loop simulation (PSO-RCO). It consists of a set of closed-loop identification, simulation, and optimization functions that are organized in a recurrent working flow. The working flow makes one controller tuned at a time whilst others keep their values. It ends after several rounds of overall optimizations. Such a recurrently alternative tuning can greatly speed up the convergence of controller parameters to reasonable values. Verifications on practical data from a superheated steam temperature control system show that the optimized control system performance is greatly improved by reasonable controller parameters and practicable control action. With the advantage of not interfering system operation and the potential supporting on big data identification method, the PSO-RCO is a promising method for control system optimization.

New Insights on the Override Control Problem

2007 ◽  
Author(s):  
Elizabeth Villota ◽  
Suhada Jayasuriya
Keyword(s):  
Control System ◽  
Control Problem ◽  
Closed Loop ◽  
Optimization Method ◽  
Structural Representation ◽  
Constrained System ◽  
Special Cases ◽  
Control Schemes ◽  
Control Objective ◽  
The Ideal

This paper considers the override (OR) control strategy, employed for systems possessing limits on the plant variables (states and output). The aim of this work is to analyze the OR control problem on the basis of the well studied anti-windup (AW) control problem in order to facilitate transparency and systematization in the OR control system design. The performance objective related to the OR control problem is first defined and a general structural representation for OR control, comprising potential static and dynamic configurations as special cases, is then presented. The effect of OR control on the closed-loop is evaluated in terms of a general framework, termed conditioning of the plant, which permits the unification and comparison of all OR control schemes. A difference system describing the mismatch between the OR control system and the ideal output constrained system responses is further employed for comparison of OR control schemes and for synthesis of compensators as it readily quantifies the OR control objective. Finally, an optimal LMI-based optimization method for designing static OR controllers is provided and the resulting performance of the design strategy is shown by a simulation example.

Data-driven control system design for a multi-input single-output dual-rate system based on input-multiple closed-loop data

2017 ◽  
Vol 13 (4) ◽  
pp. 654-655 ◽  
Author(s):  
Sho Ito ◽  
Takao Sato ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
System Design ◽  
Closed Loop ◽  
Data Driven ◽  
Control System Design ◽  
Rate System ◽  
Single Output

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

Closed loop auto control system software for Miniature Neutron Source Reactors (MNSRs)

Kerntechnik ◽  
2009 ◽  
Vol 74 (5-6) ◽  
pp. 280-285
Author(s):  
M. Iqbal ◽  
J. Qadir ◽  
T. K. Bhatti ◽  
Q. Abbas ◽  
S. M. Mirza
Keyword(s):  
Control System ◽  
Neutron Source ◽  
Closed Loop ◽  
System Software

Combined Temperature and Force Control for Robotic Friction Stir Welding

2013 ◽  
Author(s):  
Axel Fehrenbacher ◽  
Christopher B. Smith ◽  
Neil A. Duffie ◽  
Nicola J. Ferrier ◽  
Frank E. Pfefferkorn ◽  
...  
Keyword(s):  
Control System ◽  
Force Control ◽  
Closed Loop ◽  
Interface Temperature ◽  
Closed Loop Control ◽  
Weld Quality ◽  
Loop Control ◽  
Friction Stir ◽  
Tool Position ◽  
Robotic Friction Stir Welding

The objective of this research is to develop a closed-loop control system for robotic friction stir welding (FSW) that simultaneously controls force and temperature in order to maintain weld quality under various process disturbances. FSW is a solid-state joining process enabling welds with excellent metallurgical and mechanical properties, as well as significant energy consumption and cost savings compared to traditional fusion welding processes. During FSW, several process parameter and condition variations (thermal constraints, material properties, geometry, etc.) are present. The FSW process can be sensitive to these variations, which are commonly present in a production environment; hence, there is a significant need to control the process to assure high weld quality. Reliable FSW for a wide range of applications will require closed-loop control of certain process parameters. A linear multi-input-multi-output process model has been developed that captures the dynamic relations between two process inputs (commanded spindle speed and commanded vertical tool position) and two process outputs (interface temperature and axial force). A closed-loop controller was implemented that combines temperature and force control on an industrial robotic FSW system. The performance of the combined control system was demonstrated with successful command tracking and disturbance rejection. Within a certain range, desired axial forces and interface temperatures are achieved by automatically adjusting the spindle speed and the vertical tool position at the same time. The axial force and interface temperature is maintained during both thermal and geometric disturbances and thus weld quality can be maintained for a variety of conditions in which each control strategy applied independently could fail.

A closed-loop optimization framework for personalized cancer therapy design

2020 ◽  
Author(s):  
Fabrizio Angaroni ◽  
Mattia Pennati ◽  
Lucrezia Patruno ◽  
Davide Maspero ◽  
Marco Antoniotti ◽  
...  
Keyword(s):  
Cancer Therapy ◽  
Closed Loop ◽  
Loop Optimization ◽  
Optimization Framework ◽  
Personalized Cancer Therapy ◽  
Personalized Cancer ◽  
Therapy Design

Control System Optimization for Sugar Crystallization Process

2020 ◽  
Author(s):  
Sandeep Kumar Sunori ◽  
Manoj Thakur ◽  
Govind Singh Jethi ◽  
Pradeep Juneja
Keyword(s):  
Control System ◽  
Crystallization Process ◽  
System Optimization
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