Hybrid genetic algorithm-swarm intelligence-based tuning of temperature controller for continuously stirred tank reactor

Kantha, Aditya Sarjak; Utkarsh, Ayush; Jatoth, Ravi Kumar

doi:10.1504/ijmic.2016.075817

Cited by 3 publications

(2 citation statements)

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“…Parameter identification is to identify kinematic/structural parameters through optimisation algorithms. The commonly used algorithms include least-squares (Gao et al, 2016b), particle swarm optimisation (PSO) (Kantha et al, 2016), etc. Error compensation is to compensate the structural parameters errors in the controller of industrial robots after parameter identification.…”

Section: Introductionmentioning

confidence: 99%

Kinematic calibration for industrial robots using articulated arm coordinate machines

Gao

Zhang

San

et al. 2019

IJMIC

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To improve the position accuracy of industrial robots, a novel kinematic model and calibration method using articulated arm coordinate machines (AACMM) is proposed in this paper. The end of the industrial robot is connected to the probe of an AACMM, thus forming a closed kinematic chain. The coordinate systems of the double arms were established, based on which the mapping of the joint angles and the position of the end were derived as well as the nominal value of the kinematic parameters of the industrial robot. A two-step search method was presented for kinematic parameter identification of the industrial robot. The identified kinematic parameters were used to compensate the errors of the nominal kinematic parameters in the controller of the industrial robot. Experiments were conducted to verify the calibration method, which show that after calibration, the average position errors of the industrial robot were decreased greatly.

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Section: Introductionmentioning

confidence: 99%

Kinematic calibration for industrial robots using articulated arm coordinate machines

Gao

Zhang

San

et al. 2019

IJMIC

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“…The genetic algorithm has proved its strength and durability in solving many problems, and thus it is considered as an optimization tool for many researchers (Goldberg, 1989), (Mahmoudi & Mahmoudi, 2014), (Kotenko & Saenko, 2015) and (Tsang & Au, 1996). This explains the increase and expansion of its popularity among researchers in many areas such as image processing (Paulinas & Ušinskas, 2015) and (Amsaveni & Vanathi, 2015), speech recognition (Benkhellat & Belmehdi, 2012) (Gupta & Wadhwa, 2014), software engineering (Srivastava & Kim, 2009), computer networks (Nakamura, 1997), robotics (Ayala & dos Santos Coelho, 2012), in addition to other applications such as in (Tian, et al, 2016), (Chen, et al, 2015) and (Kantha, et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

On enhancing genetic algorithms using new crossovers

Hassanat

Esra'

Alkafaween

2017

IJCAT

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Abstract-This paper investigates the use of more than one crossover operator to enhance the performance of genetic algorithms. Novel crossover operators are proposed such as the Collision crossover, which is based on the physical rules of elastic collision, in addition to proposing two selection strategies for the crossover operators, one of which is based on selecting the best crossover operator and the other randomly selects any operator. Several experiments on some Travelling Salesman Problems (TSP) have been conducted to evaluate the proposed methods, which are compared to the well-known Modified crossover operator and partially mapped Crossover (PMX) crossover. The results show the importance of some of the proposed methods, such as the collision crossover, in addition to the significant enhancement of the genetic algorithms performance, particularly when using more than one crossover operator.

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Parameter Estimation of Piezoelectric Transducers Circuit Model Using GA-PSO Algorithm

Liu

Duan

Bai

2018

2018 10th International Conference on Modelling, Identification and Control (ICMIC)

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Hybrid genetic algorithm-swarm intelligence-based tuning of temperature controller for continuously stirred tank reactor

Cited by 3 publications

References 0 publications

Kinematic calibration for industrial robots using articulated arm coordinate machines

Kinematic calibration for industrial robots using articulated arm coordinate machines

On enhancing genetic algorithms using new crossovers

Parameter Estimation of Piezoelectric Transducers Circuit Model Using GA-PSO Algorithm

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