Adaptive fuzzy multivariable controller design based on genetic algorithm for an air handling unit

Energy ◽  
2015 ◽  
Vol 81 ◽  
pp. 477-488 ◽  
Author(s):  
Muhammad Waqas Khan ◽  
Mohammad Ahmad Choudhry ◽  
Muhammad Zeeshan ◽  
Ahsan Ali
Author(s):  
Shihong Ding ◽  
Binbin Zhang ◽  
Keqi Mei ◽  
Ju H. Park

2020 ◽  
Vol 53 (2) ◽  
pp. 8419-8425
Author(s):  
Yoshihiro Maeda ◽  
Shu Kunitate ◽  
Eitaro Kuroda ◽  
Makoto Iwasaki

Author(s):  
Sourav Kundu ◽  
Kentaro Kamagata ◽  
Shigeru Sugino ◽  
Takeshi Minowa ◽  
Kazuto Seto

Abstract A Genetic Algorithm (GA) based approach for solution of optimal control design of flexible structures is presented in this paper. The method for modeling flexible structures with distributed parameters as reduced-order models with lumped parameters, which has been developed previously, is employed. Due to some restrictions on controller design it is necessary to make a reduced-order model of the structure. Once the model is established the design of flexible structures is considered as a feedback search procedure where a new solution is assigned some fitness value for the GA and the algorithm iterates till some satisfactory design solution is achieved. We propose a pole assignment method to determine the evaluation (fitness) function to be used by the GA to find optimal damping ratios in passive elements. This paper demonstrates the first results of a genetic algorithm approach to solution of the vibration control problem for practical control applications to flexible tower-like structures.


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