Tuning of a First-Order Lag-Lead Compensator used with a Very Slow Second-Order Process

Hassaan, Galal Ali

doi:10.7323/ijaet/v7_iss6_21

Cited by 4 publications

(17 citation statements)

References 10 publications

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“…The feedforward gain is utilized to regulate the input variations. Therefore, the PDFF controller will overcome the slow response specifications and maintaining the stability during the optimization process [17]. The actuating signal for PDFF control action is as follows:…”

Section: Pdff Controllermentioning

confidence: 99%

Tuning of different controlling techniques for magnetic suspending system using an improved bat algorithm

Abbas¹

2020

IJECE

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In this paper, design of proportional- derivative (PD) controller, pseudo-derivative-feedback (PDF) controller and PDF with feedforward (PDFF) controller for magnetic suspending system have been presented. Tuning of the above controllers is achieved based on Bat algorithm (BA). BA is a recent bio-inspired optimization method for solving global optimization problems, which mimic the behavior of micro-bats. The weak point of the standard BA is the exploration ability due to directional echolocation and the difficulty in escaping from local optimum. The new improved BA enhances the convergence rate while obtaining optimal solution by introducing three adaptations namely modified frequency factor, adding inertia weight and modified local search. The feasibility of the proposed algorithm is examined by applied to several benchmark problems that are adopted from literature. The results of IBA are compared with the results collected from standard BA and the well-known particle swarm optimization (PSO) algorithm. The simulation results show that the IBA has a higher accuracy and searching speed than the approaches considered. Finally, the tuning of the three controlling schemes using the proposed algorithm, standard BA and PSO algorithms reveals that IBA has a higher performance compared with the other optimization algorithms

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Section: Pdff Controllermentioning

confidence: 99%

Tuning of different controlling techniques for magnetic suspending system using an improved bat algorithm

Abbas¹

2020

IJECE

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“…Hassaan suggested this compensator to control this highly oscillating second-order process [18]. The compensator has 4 parameters: -Proportional gain of the feedforward proportional module:…”

Section: Feedback First-order Lag-lead Compensator Tuningmentioning

confidence: 99%

“…Hassaan used a tuning approach based on an ITAE objective function to tune a feedforward secondorder compensator when used with a highly oscillating second-order process [21]. Vol.…”

Section: 4feedforward Second-order Compensator Controlling a Highlmentioning

confidence: 99%

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Robustness of Feedback First-Order Lag-Lead, Feedforward Second-Order Lag-Lead and Feedforward First-Order Lag-Lead Compensators used with Second-Order Processes

Hassaan¹

2015

IJAET

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Robustness is one of the requirements used in controllers and compensators design. The designs presented in the previous papers did not consider the robustness of the controller or compensator. Therefore, the objective of this paper is to investigate the robustness of feedback first-order lag-lead, feedforward second-order lag-lead and feedforward first-order lag-lead compensators used to control second-order processes against uncertainty in the process parameters. A variation of ± 20 % in process parameters is considered through simulation to study its effect on the system performance parameters using the tuned controllers. With a feedback first-order lag-lead compensator controlling a highly oscillating second order process, the variation in process natural frequency and damping ratio has small effect on the maximum percentage overshoot, settling time and the phase margin of the control system. The phase margin is above 74 degrees for all the changes in the processparameters providing robust compensator characteristics. The phase margin of the control system using the proposed compensators for the range of the variation of the process parameters is above 56 degrees, the maximum percentage overshoot for a step input is less than 11.5 % and the settling time does not exceed 1.41 seconds indicating the robustness of the three compensators.

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“…investigated the use and tuning of a PD-PI controller to control integrating plus delay time and first order delayed processes [16,17]. He investigated controlling a very slow second order process using a PDF controller [18] and a PDFF controller [19]. Furthermore, he investigated the disturbance rejection associated with a delayed double integrating process using a PD-PI controller [20] , an I-PD controller [21], a PI-PD controller [22], a PID plus first order lag controller [23], a 2DOF controller [24] and a PI-P controller [25].. G p (s) = (ω n 2 / (s 2 + 2ζω n s + ω n 2 ) (1) Where:…”

Section: Introductionmentioning

confidence: 99%

Untitled

2018

IJET

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I. INTRODUCTIONThe author investigated the application of a new series of controllers and compensators for control of second and third order processes. This research aimed at replacing the first generation of the PID controllers by new ones (the second generation) providing better performance of the control systems and providing better robustness and better capability of disturbance rejection. The proposed controller is entirely new and it is expected to solve some of the disadvantages of PID controllers and opens new prospective for its application in control engineering.Hassaan, Al-Gamil and Lashin (2013) used a PIDF controller to control a highly oscillating second order process. They tuned the controller for a second order process having 85.4 % maximum percentage overshoot Through the tuned PIDF controller, they could eliminate completely the process overshoot and reduce the settling time from 8 to 0.62 s (for the closed-loop control systems) [1].

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Tuning of a First-Order Lag-Lead Compensator used with a Very Slow Second-Order Process

Abstract: ABSTRACT

Cited by 4 publications

References 10 publications

Tuning of different controlling techniques for magnetic suspending system using an improved bat algorithm

Tuning of different controlling techniques for magnetic suspending system using an improved bat algorithm

Robustness of Feedback First-Order Lag-Lead, Feedforward Second-Order Lag-Lead and Feedforward First-Order Lag-Lead Compensators used with Second-Order Processes

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