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Optimization of PID control parameters for marine dual-fuel engine using improved particle swarm algorithm [PDF]

open access: yesScientific Reports
This study presents a comprehensive investigation into the optimization of PID control parameters for marine dual-fuel engines using an improved particle swarm algorithm.
Zhuo Hu   +5 more
doaj   +2 more sources

Optimization and Realization of the Coordination Control Strategy for Extended Range Electric Vehicle

open access: yesMachines, 2022
This paper designed a fuzzy adaptive proportional integral differential (PID) control algorithm to optimize the overshoot of speed and torque, fuel consumption and exhaust emissions of the traditional PID control strategy in the process of working ...
Keqin Zhao   +3 more
doaj   +1 more source

State-Space PID: A Missing Link Between Classical and Modern Control

open access: yesIEEE Access, 2022
PID control is widely applied in industry. However, it is classified as a classical control technique, in that transfer function method is used to represent the ideal and/or practical PID controller.
Wen Tan, Wenjie Han, Jiaohu Xu
doaj   +1 more source

Optimization of High-temperature and High-pressure Triaxial Testing Machine Control System Based on Particle Swarm Algorithm

open access: yesTaiyuan Ligong Daxue xuebao, 2022
By combining particle swarm algorithm (PSO) with conventional PID, the hydraulic and temperature control systems of high-temperature and high-pressure triaxial testing machine was analyzed and studied, the mathematical models of hydraulic system and ...
Feng LIN   +4 more
doaj   +1 more source

Spindle speed control algorithm for spinning machine optimized GPC-PID based on PSO

open access: yesXi'an Gongcheng Daxue xuebao, 2023
Aimed at the problem of severed heads caused by the large fluctuation of yarn tension in the winding process of the spinning machine, the spindle speed control method of GPC-PID optimized by particle swarm optimization(PSO) algorithm was proposed. First,
WANG Yannian   +3 more
doaj   +1 more source

Improvement of predictive control algorithm based on fuzzy fractional order PID

open access: yesJournal of Intelligent Systems, 2023
The existing predictive control strategy has comprehensive prior knowledge of the controlled process, requires weak continuity of the search space for parameter optimization, and its application is limited to some extent.
Shi Rongzhen
doaj   +1 more source

Research on intervention PID control of VAV terminal based on LabVIEW

open access: yesCase Studies in Thermal Engineering, 2023
In recent years, the research on the control method of variable air volume (VAV) has been the focus of VAV air-conditioning research. Single terminal PID control is prone to overshoot in the system when the temperature difference is large.
Shuanghua Cao, Weichao Zhao, Anxiong Zhu
doaj   +1 more source

Networked PID control [PDF]

open access: yes2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
PID controllers are the most widely used control scheme in industry. Traditionally these controllers have been implemented in analog or digital form on specifically dedicated communication links. However, there has been significant recent interest into deploying control over general purpose communication channels, which allow one to transmit data ...
Quevedo, Daniel E.   +3 more
openaire   +2 more sources

Cascade Control Method of Sliding Mode and PID for PEMFC Air Supply System

open access: yesEnergies, 2022
Proton exchange membrane fuel cells (PEMFC) are vulnerable to oxygen starvation when working under variable load. To address these issues, a cascade control strategy of sliding mode control (SMC) and Proportion Integration Differentiation (PID) control ...
Aihua Tang   +3 more
doaj   +1 more source

Research on a hybrid controller combining RBF neural network supervisory control and expert PID in motor load system control

open access: yesAdvances in Mechanical Engineering, 2022
Considering the contradiction among the response speed, overshoot and stability of system when the motor load system adopts PID control, a control strategy combining RBF (Radial Basis Function) neural network supervisory control and expert PID control is
Hongliang Gao, Lang Xiong
doaj   +1 more source

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