The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation

Ambroziak, Arkadiusz; Chojecki, Adrian

doi:10.1016/j.engappai.2022.105485

Cited by 30 publications

(11 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The drive-brake switching algorithm is designed, and the simulation model of the drive-brake control switching and safety clearance strategy is built (Li et al, 2022). The fuzzy PID control method is used to design the vehicle adaptive cruise control algorithm based on the vehicle longitudinal dynamics model (Ambroziak & Chojecki, 2023). Two cruise control algorithms are designed for different working conditions: cruise control algorithm at fixed speed and cruise control algorithm following and two algorithms are built-simulation model Suwoyo et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

View full text Add to dashboard Cite

ACC (Adaptive Cruise Control) is a crucial technology to control the automatic driving of a vehicle, which can automatically adjust the driving status of the vehicle according to the driving status of the vehicle in front so that the vehicle always keeps a safe distance from the vehicle in front, which can primarily relieve the driver's driving pressure and avoid tailgating. The research is of great significance to the realization of intelligent driving of vehicles. In this paper, the fuzzy PID control method is used to study the vehicle ACC system. Firstly, the basic concept and key components of the ACC system are explained, the vehicle longitudinal dynamics model is established, and the primary ranges of , and parameters are determined through simulation; based on this, the fuzzy PID control algorithm of vehicle ACC is designed considering three different driving conditions of fixed speed and following cruise mode. The fuzzy PID control algorithm of the vehicle ACC system is designed and established. The joint simulation model of MATLAB is used to simulate the vehicle ACC system under three different driving conditions. The simulation results show that the vehicle ACC system designed in this paper ensures the safety and stability of following the vehicle while providing the vehicle's ride's comfort.

show abstract

Section: Methodsmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

View full text Add to dashboard Cite

show abstract

“…Mode change from DCM and CCM is also difficult and challenging [40]. Linear controllers like PID controllers cannot be used throughout the converter's entire operating range due to this nonlinear behavior [41]. Advanced control strategies are required to handle the transition between different modes effectively.…”

Section: Literature Reviewmentioning

confidence: 99%

The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

Ullah,

Rizvi,

Khatoon

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The DC-DC converters are essential in power electronics as they maintain a stable output voltage even when there are changes in input voltage and load current. This study introduces an advanced Proportional-Derivative (PD) compensator for buck converters. The compensator enhances stability and transient responsiveness by employing a unique modulation technique that has not been previously applied in this context. The proposed method entails applying an input of 28 volts, which yields an output amplification of 15 volts, even in the presence of interference. The small signal transfer function of the buck converter is meticulously derived, considering the converter's dynamic behavior to achieve exceptional results. The transfer function comprehensively explains the intricate relationship between the input and output voltages, providing the theoretical basis for our distinctive control approach. The MATLAB code accurately generates the Bode diagram of the buck converter by employing the small signal transfer function. The graph illustrates the frequency response of the converter, a crucial factor in enhancing the stability and quality of the output voltage. The proposed research is substantiated by mathematical data shown through several simulated figures, distinguishing it from conventional methodologies. The implemented research achieves the maximum efficiency exceeding 95% with a minimum ripple factor.

show abstract

“…(11) Where 𝐹 acti (𝑡) is the force acting on the linear actuator and 𝜂 is lead screw efficiency. The total effective inertia 𝐽 is calculated as follows 𝐽 = 𝐽 𝑎 + 𝐽 𝐿 (12) By substitution from equations (10), (11) and (12) into the state space model derived in equations ( 7) and ( 8) the state space mathematical model of the electric linear actuator would be on the following form…”

Section: Electric Linear Actuator Modelmentioning

confidence: 99%

“…The other method used to obtain the controller gain 𝐾 1 is calculating it directly from the overall controller gain 𝐾 overall . The actuator model has been structured on Simulink to study and simulate the effect of the PID controller and also to help in studying other different tuning methods as shown in figure (12).…”

Section: Pid Controller Design and Simulationmentioning

confidence: 99%

“…Ziegler-Nichols closed loop tuning methodThis method is known as continuous cycling method and also may be mentioned as ultimate gain method[8],[9]. The continuous cycling method is one of the best-known strategies of closed loop systems[10],[11],[12]. The PID tuning parameters are calculated as function of both ultimate (critical) proportional gain PU and period TU.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Position control of Stewart platform with electric linear actuator

Mohamed,

Roshdy,

Ali

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

In recent decades, several technological applications have depended on manipulators like Stewart platform due to its accuracy and precision. Based on actuation type, Stewart platforms could be rotary or linearly actuated. Electric linear actuators are devices commonly consist of DC or AC motors coupled with lead screw or mechanism of gears and spindle which are used to convert rotary motion into linear (push or pull) motion. To increase accuracy and precision and achieve the desired linear actuator response, controllers should be used. The main aspiration of this work is to investigate the feasibility of using PID controllers for position control of Stewart platform with linear actuators. The mathematical model has been derived and the model transfer function has been obtained. To meet the required response of performance characteristics, the PID controller has been designed based on analysis of root-locus. Model simulation analysis has been carried out on both MATLAB and Simulink. For the electric linear actuator, comparison between the obtained response and the results of Ziegler-Nichols tuning method has been discussed on basis of the specifications of the time response. The PID controller parameters for the electric linear actuator has been tested experimentally and compared with simulation results.

show abstract

The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation

Cited by 30 publications

References 9 publications

Dubin’s Curve of RRT* Merged With A*

Dubin’s Curve of RRT* Merged With A*

The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

Position control of Stewart platform with electric linear actuator

Contact Info

Product

Resources

About