Application of Optimal Solutions in Field-Oriented Control of Induction Motor

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254432" target="_blank" >RIV/61989100:27240/23:10254432 - isvavai.cz</a>
Result on the web
<a href="https://www.intechopen.com/chapters/1134665" target="_blank" >https://www.intechopen.com/chapters/1134665</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5772/intechopen.1001609" target="_blank" >10.5772/intechopen.1001609</a>

Result language
angličtina
Original language name
Application of Optimal Solutions in Field-Oriented Control of Induction Motor
Original language description
This chapter presents the optimal solutions in field-oriented control for induction motors. It includes the introduction of the Genetic Algorithm (GA), Particle Swarm Optimizer (PSO), and Cuckoo Search Algorithm (CSA). In those algorithms, the GA algorithm is used to control the speed of the induction motor. With the GA algorithm, the speed response of the induction motor always achieves good stability in the case of no-load and under-load. This chapter also presents the optimal parameter search of the PID controller, such as proportional factor (Kp), integral coefficient (Ki), and differential coefficient (Kd), by the genetic algorithm. Finally, the simulation results on Matlab Simulink and the experimental results on TI's DSP 82335 have demonstrated the advantages of the proposed methods compared to the traditional PID methods.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Induction Motors - Recent Advances, New Perspectives and Applications
ISBN
978-1-83769-576-8
Number of pages of the result
21
Pages from-to
1-21
Number of pages of the book
222
Publisher name
IntechOpen
Place of publication
Londýn
UT code for WoS chapter
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