FPGA–implementation of PID-controller by differential evolution optimization
Abstract: We will describe an FPGA implementation of PID-controller that uses differential evolution to optimize the coefficients of the PID controller, which has been implemented in VHDL. The original differential evolution algorithm was improved by ranking based mutation operation and self-adaptation of mutation and crossover parameters. Ranking-based mutation operation improves the quality of solution, convergence rate and success of optimization. Due to the self-adaptive control parameters, the user does not have to estimate the mutation and crossover rates. Optimization have been performed by calculating for each generation fitness value by means of trial parameters. The final optimal parameters are selected based on the minimum fitness.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
FPGA–implementation of PID-controller by differential evolution optimization ; volume:8 ; number:1 ; year:2018 ; pages:395-402 ; extent:8
Open engineering ; 8, Heft 1 (2018), 395-402 (gesamt 8)
- Urheber
-
Hanhila, Mika
Mantere, Timo
T. Alander, Jarmo
- DOI
-
10.1515/eng-2018-0038
- URN
-
urn:nbn:de:101:1-2412141628130.393998368362
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hanhila, Mika
- Mantere, Timo
- T. Alander, Jarmo
Ähnliche Objekte (12)
Adaptive Controller, PID Controller and AI in Small UAV Autopilot System Design
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator
OPTIMAL PID CONTROLLER DESIGN USING ADAPTIVE VURPSO ALGORITHM
FPGA implementation of rule optimization for stand-alone tunable fuzzy logic controller using GA
Provisional Microgrid Frequency Regulation by Brain Emotional Learning Based Intelligent Controller and Implementation Through FPGA
Fuzzy rule-based set point weighting for fuzzy PID controller
Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller
An adaptive fractional controller design for automatic voltage regulator system: sigmoid-based fractional-order PID controller
Design model-free adaptive PID controller based on lazy learning algorithm
Resource-constrained FPGA implementation of YOLOv2
Optimal fractional-order PID controller based on fractional-order actor-critic algorithm
Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm
Adaptive Controller, PID Controller and AI in Small UAV Autopilot System Design
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator
OPTIMAL PID CONTROLLER DESIGN USING ADAPTIVE VURPSO ALGORITHM
FPGA implementation of rule optimization for stand-alone tunable fuzzy logic controller using GA
Provisional Microgrid Frequency Regulation by Brain Emotional Learning Based Intelligent Controller and Implementation Through FPGA
Fuzzy rule-based set point weighting for fuzzy PID controller
Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller
An adaptive fractional controller design for automatic voltage regulator system: sigmoid-based fractional-order PID controller
Design model-free adaptive PID controller based on lazy learning algorithm
Resource-constrained FPGA implementation of YOLOv2
Optimal fractional-order PID controller based on fractional-order actor-critic algorithm
Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm
Adaptive Controller, PID Controller and AI in Small UAV Autopilot System Design
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator
OPTIMAL PID CONTROLLER DESIGN USING ADAPTIVE VURPSO ALGORITHM
FPGA implementation of rule optimization for stand-alone tunable fuzzy logic controller using GA
Provisional Microgrid Frequency Regulation by Brain Emotional Learning Based Intelligent Controller and Implementation Through FPGA
Fuzzy rule-based set point weighting for fuzzy PID controller
Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller
An adaptive fractional controller design for automatic voltage regulator system: sigmoid-based fractional-order PID controller
Design model-free adaptive PID controller based on lazy learning algorithm
Resource-constrained FPGA implementation of YOLOv2
Optimal fractional-order PID controller based on fractional-order actor-critic algorithm