Online Adaptive Controller Based on Dynamic Evolution Strategies

Fister, Dušan; Šafarič, Jakob; Šafarič, Riko; Fister, Iztok

doi:10.3390/app8112076

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…Several bio-inspired algorithms, including Differential Evolution (DE), Particle Swarm Optimization (PSO), Bat Algorithm (BAT), Firefly Algorithm (FFA), Wolf Search Algorithm (WSA), and GA are studied in [36] for the speed controller tuning of a Direct Current (DC) motor. In [37], the (1+1)-Dynamic Evolution Strategy has been used to find the PI controller gains for a one-degree-of-freedom robotic mechanism. The use of different multi-objective evolutionary algorithms has been analyzed in the controller tuning of the four-bar mechanism [38].…”

Section: Introductionmentioning

confidence: 99%

“…The adaptive tuning methods' main feature is the periodic execution of the optimization process to set the new control gains at each predefined time period. By repeatedly optimizing the parameters of a controller, the performance of the plant increases, making it more robust to disturbances and parametric uncertainties, even more so when meta-heuristic optimizers are used, as observed in several recent works [35][36][37][38]. However, the computational cost required to perform such meta-heuristic optimization is relatively high and could not be affordable for many computer systems.…”

Section: Introductionmentioning

confidence: 99%

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Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

2021

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The fusion of bio-inspired algorithms into online controller tuning (adaptive controller tuning) is one of the main topics in Intelligent Control. One crucial issue is to reduce the times that the tuning process performs over time. In this work, a novel Asynchronous Adaptive Controller Tuning (AACT) approach is proposed to reduce the number of tuning process activations, and hence, this promotes resource savings in the overall computational cost for the tuning process. In this approach, an event function is designed to determine the control parameter update where the use of identification and predictive stages set the current control parameters. Furthermore, an elitist initialization in the differential evolution algorithm is also incorporated for solving the optimization problems at each stage. The speed regulation of the DC motor under disturbances is the study case in the ACCT approach. Comparative results with state-of-theart bio-inspired algorithms in control tuning reveal in the AACT approach that the elitist initialization in differential evolution notably benefits the controller performance. Moreover, the comparative results with the Synchronous Adaptive Controller Tuning (SACT) approach show that the proposal reduces 61% the tuning process computation frequency with a similar speed regulation performance when disturbances appear.INDEX TERMS Optimal controller tuning, DC motor, Event based tuning, Bio-inspired algorithm.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

2021

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Estimation of Wheel Center Forces of a Car, Without Neither Load Sensor Nor Strain Gauge Measurements When Crossing a Groove on the Road

Débarbouillé,

Dimitrijevic,

Renaud

et al. 2023

Conference Proceedings of the Society for Experimental Mechanics Series

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Durability and life prediction of fly ash geopolymer concrete in corrosion environments caused by dry and wet circulation

Sun

Wang

et al. 2022

Environ Sci Pollut Res

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The use of tailings, waste rock, y ash and slag to prepare geopolymer concrete can effectively solve the problems of land resources occupied by tailings and waste rock, low utilization rate and environmental pollution. Using a dry-wet circulation method, y ash for a different corrosion solution to geopolymer concrete (referred to as TWGPC) was analysed. Through an appearance change, the corrosion resistance coe cient of the compressive strength, relative dynamic elastic modulus, tensile splitting strength, relative mass and durability were investigated, using scanning electron microscopy (SEM) analysis of the microstructure, The life of TWGPC was predicted based on the GM(1,1) prediction model of grey system theory. The test results show that with an increase in the number of dry-wet cycles, the surface of the specimen crystallizes, cracks, spalls and exhibits other phenomena. The compressive strength corrosion coe cient, relative dynamic elastic modulus, crack tensile strength and relative mass show a trend of increasing rst and then decreasing, nally reaching the peak value after 40 cycles. The erosion products generated by the early reaction ll the slurry aggregate pores and improve the strength of TWGPC. In a later stage, a large number of erosion products absorb water and expand, the internal pores of TWGPC are connected, leading to a decrease in strength. Clinhibits the corrosion of SO 4 2in concrete and improves the durability of concrete.

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Online Adaptive Controller Based on Dynamic Evolution Strategies

Cited by 7 publications

References 33 publications

Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

Estimation of Wheel Center Forces of a Car, Without Neither Load Sensor Nor Strain Gauge Measurements When Crossing a Groove on the Road

Durability and life prediction of fly ash geopolymer concrete in corrosion environments caused by dry and wet circulation

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