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Kinetic Mechanical Engineering, 2023, 4(2); doi: 10.38007/KME.2023.040201.

Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

Author(s)

Aghenta Lawrence

Corresponding Author:
Aghenta Lawrence
Affiliation(s)

BIHER, BIST, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India

Abstract

Genetic algorithm is a global search optimization method, which has high efficiency and robustness in solving the control problems of complex systems. This paper first introduces the basic theory of genetic algorithm, coding method, fitness function design principle and other basic theoretical knowledge, then analyzes and studies them according to the model, establishes a simple and fast mathematical equation to solve the motor position and speed distribution law, and constructs a multi-objective optimization problem with robustness and efficiency based on the standard normal form system dynamic characteristic parameter self-tuning network. The test results show that the genetic algorithm can get an optimal solution when setting PID parameters, and the time to find the global optimal value is fast.

Keywords

Genetic Algorithm, Construction Machinery, Machine Optimization, Control Strategy

Cite This Paper

Aghenta Lawrence. Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm. Kinetic Mechanical Engineering (2023), Vol. 4, Issue 2: 1-9. https://doi.org/10.38007/KME.2023.040201.

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