Packet loss compensation over wireless networked using an optimized FOPI-FOPD controller for nonlinear system

Hasan, Muhannad Ali; Oglah, Ahmed A.; Marie, Mehdi J.

doi:10.11591/eei.v11i6.4345

Cited by 5 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pendulum's angle is θ, equal to zero when the pendulum in the upright direction and increases as the arm rotates [16]. The control objective is to maintain the vertical position of the pendulum rod [17]. The controller determines an appropriate force to apply to the arm, and then torque is generated by rotating the arm right and left to keep the rod in a vertical position.…”

Section: Rip System Outlinementioning

confidence: 99%

Time delay effect reduction on the wireless networked control system using an optimized FOPI-FOPD controller

Hasan

Oglah

Marie³

2023

IJPEDS

View full text Add to dashboard Cite

Wireless Networked Control System (WNCS) is made up of an actuator, sensor, and controller that communicates through a wireless network rather than typical point-to-point cable connections. Lower maintenance costs, greater flexibility, and increased safety are the main WNCS advantages, so as a result, it has attracted a lot of researchers. Nevertheless, time delays and packet losses in wireless data transmission are classified as complicated problems, which impair WNCS output accuracy and may influence the overall system stability. Integer-Order PI-PD (PI-PD) and Fractional-Order PI-PD (FOPI-FOPD) controllers are proposed to reduce the impact of the control signal transmission's time delay and improve system performance. Matlab Simulink and True-time simulator are used to simulate the WNCS, and ZigBee protocol is used in transceiving the control signal between the controller and the system. Rotary Inverted Pendulum (RIP) acted as the controller's objective. The Grey Wolf Optimization (GWO) technique is utilized to evaluate the best controller parameters. Xbee S2 modules are used to implement the signal transmission process over ZigBee protocol. The FOPI-FOPD controller outperforms the PI-PD controller in the simulation and experimental results in decreasing the influence of time delay on system stability

show abstract

Section: Rip System Outlinementioning

confidence: 99%

Time delay effect reduction on the wireless networked control system using an optimized FOPI-FOPD controller

Hasan

Oglah

Marie³

2023

IJPEDS

View full text Add to dashboard Cite

show abstract

“…As control systems cannot accurately predict plant structure in the control system due to parameter uncertainty and uncertainty in plant models, soft computing based evolutionary algorithms can be used [33]. This work exploits the GWO technique to reduce the ITSE and acquire the best values of FOPI-FOPD and PI-PD controller's factors [34], [35]. GWO is a conceptual program miming the grey wolf hunting strategy and social hierarchy.…”

Section: Optimization Techniquementioning

confidence: 99%

Optimal FOPI-FOPD controller design for rotary inverted pendulum system using grey wolves’ optimization technique

Hasan

Oglah

Marie³

2023

TELKOMNIKA

View full text Add to dashboard Cite

The rotary inverted pendulum (RIP) has been used in various control application areas. This system can be represented as two degree of freedom (2-DOF), consisting of a rotating arm and rotating pendulum rod. RIP is an excellent example of designing a single-input multi-output (SIMO) system. Due to unstable RIP system dynamics, and its nonlinear model, multiple control techniques have been used to control this system. This paper uses integer and fractional order proportional integral-proportional derivative (PI-PD) controllers to stabilize the pendulum in the vertical direction. Constrained optimization approaches, such as the grey wolf optimization (GWO) methodology, are utilized to estimate the parametric values of the controllers. The simulation results showed that the fractional order PI-PD controller outperforms the integer order PI-PD controller with and without disturbance signal existence. A multiple results comparison has illustrated the superiority of fractional order controller over a previous work.

show abstract

“…PID controllers are regarded as an easy and traditional controller for enhancing the system performance. Recently, scholars made different enhancements for conventional PID controller like using intelligent techniques such as neural network [22] or change its structures depending on system response [23] or use of the fractional analysis that is powering either the integral or the differential operators or together by fraction number, this type of enchantment is a particular case controller and become an enhanced form of the conventional PID [24,25]. The powering values are (μ for derivative part and λ for the integral part) then controller parameter will be five instead of three, the powering parameters will enhance system robustness improve its response.…”

Section: Fractional Order Pi Controllermentioning

confidence: 99%

Design an Optimal Fractional Order PI Controller for Congestion Avoidance in Internet Routers

Abood¹,

Haitham²

2022

MMEP

View full text Add to dashboard Cite

The main problem that degrade data transition in communication networks is the congestion, to achieve stable TCP network, an active queue management (AQM) is used for controlling congestion and saving regular queue length .In this paper, a robust Fractional Order PI (FOPI) controller is suggested to control the AQM system, Gray Wolf Optimization Algorithm (GWO) is used for tuning of the controller gains and the Integral Time Absolute Error (ITAE) is adopted as a fitness function for monitoring system response by minimizing its error value until reach an efficient and robust response. The transient analysis is used for comparing the suggested controller with two conventional controllers (PI & PID) to show the efficient behavior of suggested controller, then a robustness analysis is applied by adding disturbances positive and negative signals with value 150 packets at different time(15 sec, 30 sec) to the system also varying the queue size after each 40 sec to see the system response , the controller overcomes the disturbances signals with less than 3.5 sec and faces the queue size varying values and returning the system response to its desired value efficiently.

show abstract

Packet loss compensation over wireless networked using an optimized FOPI-FOPD controller for nonlinear system

Cited by 5 publications

References 36 publications

Time delay effect reduction on the wireless networked control system using an optimized FOPI-FOPD controller

Time delay effect reduction on the wireless networked control system using an optimized FOPI-FOPD controller

Optimal FOPI-FOPD controller design for rotary inverted pendulum system using grey wolves’ optimization technique

Design an Optimal Fractional Order PI Controller for Congestion Avoidance in Internet Routers

Contact Info

Product

Resources

About