Modelling and Control of Dynamical Ball and Beam System Using SA Tuned PIDA and PIaD Controllers

Sehgal, Karan; Harsh,

doi:10.1109/conecct52877.2021.9622667

Cited by 2 publications

(8 citation statements)

References 14 publications

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“…The Simulated Annealing (SA) methodology calibrates the gain coefficients of three control techniques, PID, PIDA, and PI-D to achieve the desired behavior. Analyzing the response of controllers, SA-PIDA demonstrates favorable results, followed by SA-PID and SA-PIσD, respectively [24].…”

Section: Introductionmentioning

confidence: 95%

“…We then consider BBS with change in its parameters as given in Eq 18, to test the robustness, step response performance, set point tracking and disturbance rejection capabilities of the proposed control schemes GWO-TID-F-ISE and WOA-PIDD-PI-IS, as well as provide the comparison with published relevant research work [21][22][23][24] as a case-02.…”

Section: Plos Onementioning

confidence: 99%

“…In Case-02. Here we consider the BBS with change in the parameters of the system as given in Eq 18 for a direct comparison with [21][22][23][24] and show the improved performance and robustness of the proposed schemes. A step response analysis, tracking performance, disturbance rejection analysis is carried out and comparison between different control schemes and optimization techniques are made.…”

Section: Plos Onementioning

confidence: 99%

“…The transfer function for the BBS [21][22][23][24] with the same values from Table 1 except the length of beam which is used as L = 0.4 m is given as…”

Section: Plos Onementioning

confidence: 99%

“…In Table 9 Comparison of the proposed controller GWO-TID-F-ISE and WOA-PIDD 2 -PI-ISE step performance with GA-PI-PD [21], SIMC-PID & H-Infinity [22], CDM-PID [23] and SA-PID & SA-PIDA [24] is presented.…”

Section: Plos Onementioning

confidence: 99%

See 4 more Smart Citations

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Zafar,

Malik,

Ali

et al. 2024

PLoS ONE

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In this paper, we propose two different control strategies for the position control of the ball of the ball and beam system (BBS). The first control strategy uses the proportional integral derivative-second derivative with a proportional integrator PIDD2-PI. The second control strategy uses the tilt integral derivative with filter (TID-F). The designed controllers employ two distinct metaheuristic computation techniques: grey wolf optimization (GWO) and whale optimization algorithm (WOA) for the parameter tuning. We evaluated the dynamic and steady-state performance of the proposed control strategies using four performance indices. In addition, to analyze the robustness of proposed control strategies, a comprehensive comparison has been performed with a variety of controllers, including tilt integral-derivative (TID), fractional order proportional integral derivative (FOPID), integral–proportional derivative (I-PD), proportional integral-derivative (PI-D), and proportional integral proportional derivative (PI-PD). By comparing different test cases, including the variation in the parameters of the BBS with disturbance, we examine step response, set point tracking, disturbance rejection analysis, and robustness of proposed control strategies. The comprehensive comparison of results shows that WOA-PIDD2-PI-ISE and GWO-TID-F- ISE perform superior. Moreover, the proposed control strategies yield oscillation-free, stable, and quick response, which confirms the robustness of the proposed control strategies to the disturbance, parameter variation of BBS, and tracking performance. The practical implementation of the proposed controllers can be in the field of under actuated mechanical systems (UMS), robotics and industrial automation. The proposed control strategies are successfully tested in MATLAB simulation.

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Section: Introductionmentioning

confidence: 95%

Section: Plos Onementioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

“…The transfer function for the BBS [21][22][23][24] with the same values from Table 1 except the length of beam which is used as L = 0.4 m is given as…”

Section: Plos Onementioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

See 3 more Smart Citations

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Zafar,

Malik,

Ali

et al. 2024

PLoS ONE

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Modeling of Underactuated Ball and Beam System—A Comparative Study

2023

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The article presents a comparison of the methods of modeling the underactuated ball and beam system. This study was carried out to select a model suitable for the development of a control system using the model-based design methodology. Firstly, the approach commonly used in research was verified. It was also examined whether it is important to take into account the eccentric fixation in these models. An original model taking into account friction resistance was also proposed. The considered models were simulated in Matlab/Simulink software environments and verified in reality. The obtained results were compared and analyzed.

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Modelling and Control of Dynamical Ball and Beam System Using SA Tuned PIDA and PIaD Controllers

Cited by 2 publications

References 14 publications

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Modeling of Underactuated Ball and Beam System—A Comparative Study

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