Hybrid optimization based PID control of ball and beam system

2021 ◽  
pp. 1-10 ◽  
Author(s):  
Vishal Srivastava ◽  
Smriti Srivastava
Keyword(s):  
Performance Index ◽  
System Performance ◽  
Control Strategies ◽  
Hybrid Algorithms ◽  
Hybrid Optimization ◽  
Control Engineering ◽  
Performance Simulation ◽  
Beam System ◽  
Hybrid Optimization Algorithms ◽  
Two Hybrid

Ball and beam is a popular benchmark problem in control engineering. Various control strategies have been proposed on ball & beam system in literature, In this paper, hybrid optimization algorithms have been implemented on PID controller to control ball position and beam angle. Hybrid algorithms combine exploration and exploitation ability of individual algorithm and find optimized value of performance index. In this paper, two hybrid algorithms namely PSO-GSA and PSO-GWO are used to tune controller parameters which in turn improve the system performance. Simulation results show effective and efficient improvement in system performance with these hybrid algorithms. To analyze the performance of these algorithms, time domain parameters and mean square error (MSE) has been taken as performance index. A comparative study of these algorithms with that of individual algorithms namely PSO, GWO, GSA has also been done.

Overview of MAST Neutral Beam System performance

2009 ◽  
Author(s):  
D. A. Homfray ◽  
D. Ciric ◽  
V. Dunkley ◽  
R. King ◽  
D. Payne ◽  
...  
Keyword(s):  
System Performance ◽  
Neutral Beam ◽  
Beam System

Control Strategies for Multistage Solar Collector Systems

1988 ◽  
Vol 110 (3) ◽  
pp. 230-232
Author(s):  
C. Saltiel
Keyword(s):  
Comparative Study ◽  
Flow Control ◽  
Numerical Simulations ◽  
Control Strategy ◽  
System Performance ◽  
Solar Collector ◽  
Control Strategies ◽  
Climatic Conditions ◽  
High Threshold ◽  
Threshold Values

A comparative study of the yearly performance of multistage solar collector systems, (comprised of more than one collector type) with a single on/off flow control strategy for all the collectors and separate on/off controls for each collector stage, is performed. Detailed numerical simulations under a range of climatic conditions showed that there is little advantage in using individual collector controls over a single on/off control strategy when the systems operate at low collector thresholds, but differences in system performance can be quite significant at high threshold values. In addition, the choice of the single control strategy (i.e., which collector the strategy is based on) at low thresholds is not critical in terms of system performance.

Extension of the IWA/COST simulation benchmark to include expert reasoning for system performance evaluation

2006 ◽  
Vol 53 (4-5) ◽  
pp. 331-339 ◽  
Author(s):  
J. Comas ◽  
I. Rodríguez-Roda ◽  
M. Poch ◽  
K.V. Gernaey ◽  
C. Rosen ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Control Strategies ◽  
Point Of View ◽  
Plant Performance ◽  
Flow Diagram ◽  
Biological Origin ◽  
Cost Simulation ◽  
Expert Reasoning ◽  
System Performance Evaluation

In this paper the development of an extension module to the IWA/COST simulation benchmark to include expert reasoning is presented. This module enables the detection of suitable conditions for the development of settling problems of biological origin (filamentous bulking, foaming and rising sludge) when applying activated sludge control strategies to the simulation benchmark. Firstly, a flow diagram is proposed for each settling problem, and secondly, the outcome of its application is shown. Results of the benchmark for two evaluated control strategies illustrate that, once applied to the simulation outputs, this module provides supplementary criteria for plant performance assessment. Therefore, simulated control strategies can be evaluated in a more realistic framework, and results can be recognised as more realistic and satisfactory from the point of view of operators and real facilities.

scholarly journals Coupling matrix synthesis of general chebyshev filters

2020 ◽  
Vol 309 ◽  
pp. 01011
Author(s):  
Lihua Qi ◽  
Dongqiu Xing ◽  
Rui Wang ◽  
Xinshe Qi ◽  
Jing Zhao
Keyword(s):  
Global Minimum ◽  
Microwave Filters ◽  
Hybrid Optimization ◽  
Final Solution ◽  
Matrix Synthesis ◽  
Excellent Performance ◽  
Coupling Matrix ◽  
Hybrid Optimization Algorithms ◽  
Chebyshev Filters ◽  
The Cost

A single optimization algorithm based on SolvOpt that synthesizes coupling matrices for cross-coupled microwave filters is presented. The rules for setting initial values of SolvOpt are proposed to find global minimum of the cost function. SolvOpt method provides faster convergence and higher accuracy to find the final solution compared with hybrid optimization algorithms. Application examples illustrate the excellent performance and the validity of this method.

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