Position Tracking Performance with Fine Tune Ziegler-Nichols PID Controller for Electro-Hydraulic Actuator in Aerospace Vehicle Model

Othman, Siti Marhainis; Sunar, Noorhazirah; H.B, Hassrizal; Ismail, A. H.; Ayob, Mohd Nasir; Azmi, M. S. Muhamad; Hashim, M S M

doi:10.1088/1742-6596/2107/1/012064

Cited by 6 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the most commonly used methods is the Ziegler-Nichols method, which is divided into step response and frequency response rules. Both rules start with setting the integral and derivative gains to zero while increasing the proportional gain to a value that causes the system to oscillate [5] [6].…”

Section: Pid Adjustment Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision

2024

AJCIS

View full text Add to dashboard Cite

The integration of fuzzy logic techniques into PID controllers shows promising advantages in quadcopter control. By incorporating fuzzy logic, the PID controller achieves enhanced adaptability and robustness, resulting in more dynamic and resilient control performance. This is achieved through the automatic adjustment of PID parameters based on real-time system feedback, enabling a control strategy that closely resembles human reasoning. Overall, the combination of fuzzy logic and PID control offers significant potential for improving quadcopter control in various environmental conditions.

show abstract

Section: Pid Adjustment Methodsmentioning

confidence: 99%

“…The minimum and maximum variable ranges of PID controller gains are obtained through trial-anderror simulations using the PID controller. The same values are used in Equations ( 5), (6), and (7) to…”

Section: Fuzzy Pid Controllermentioning

confidence: 99%

Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision

2024

AJCIS

View full text Add to dashboard Cite

show abstract

“…One of the most commonly used methods is Ziegler-Nichols, which is divided into step response rules and frequency response rules. Both rules started with setting integral and derivative gain to zero while raising proportional gain to a value that will oscillate the system [28] [29]. However, a system with no sustained oscillation is unable to be tuned with this method.…”

Section: Pid Tuning Methodsmentioning

confidence: 99%

Self-Tuning PID Controller for Quadcopter using Fuzzy Logic

Baharuddin,

Basri

2023

IJRCS

View full text Add to dashboard Cite

Tracking has become a necessary feature of a drone. This is due to the demand for drones, especially quadcopters, to be used for activities such as surveillance, monitoring, and filming. It is crucial to ensure the quadcopters perform the tracking with stable flight. Despite the advantages of having VTOL ability and great maneuverability, quadcopters require an effective controller to overcome their under-actuation and instability behavior. Even though a PID controller is commonly used and promising with its simple mechanism, it requires very proper tuning to ensure the stability of the system is not affected. In this paper, a simple Fuzzy algorithm is proposed to be incorporated into a PID controller to form a self-tuning Fuzzy PID controller. The Fuzzy logic controller works as the self-adjuster to the PID parameters. A mathematical model of the DJI Tello quadcopter is derived with position and attitude control loops that are designed to track a variety of trajectories with stable flight. The proposed method uses a simple architecture where the ranges of PID parameters are used as scaling factors for Fuzzy controller outputs. The results of the simulations show the tracking error performance metrics, which are IAE, ISE, and RMSE, are smaller compared to the values of the PID controller. Beyond its impact on quadcopter control, the proposed self-tuning approach holds promise for broader applications in nonlinear systems.

show abstract

“…Specifically, we found that Kcr was 8.3 and Pcr was 256s. To calculate the PID parameters, we followed the equations from ( 21 ) to ( 23 ) derived from the Ziegler-Nichols method 24 , 25 . …”

Section: Pid Controller Designmentioning

confidence: 99%

Optimizing power consumption and position control in an electro-hydraulic system with cylinder bypass and NN-MPC

Khedr,

Awad,

Al-Oufy

et al. 2024

Sci Rep

View full text Add to dashboard Cite

This study introduces an innovative approach to enhance the energy efficiency and position control performance of electro-hydraulic systems, employing a comprehensive comparative analysis. It presents and evaluates three control techniques: Proportional-Integral-Derivative (PID) control, Model Predictive Control (MPC), and Neural Network Model Predictive Control (NN-MPC). These methods are systematically assessed across varying load conditions. Notably, our research unequivocally establishes the exceptional performance of the NN-MPC approach, even when confronted with load variations. Furthermore, the study conducts an exhaustive examination of energy consumption by comparing a conventional system, where a flow control valve is not utilized as a hydraulic cylinder bypass, with a proposed system that employs a fully open Flow Control Valve (FCV). The results underscore the remarkable energy savings achieved, reaching up to 9% at high load levels.

show abstract

Position Tracking Performance with Fine Tune Ziegler-Nichols PID Controller for Electro-Hydraulic Actuator in Aerospace Vehicle Model

Cited by 6 publications

References 4 publications

Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision

Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision

Self-Tuning PID Controller for Quadcopter using Fuzzy Logic

Optimizing power consumption and position control in an electro-hydraulic system with cylinder bypass and NN-MPC

Contact Info

Product

Resources

About