Optimal backstepping controller for controlling DC motor speed

Abood, Layla H.; Oleiwi, Bashra Kadhim; Ali, Ekbal Hussain

doi:10.11591/eei.v11i5.3940

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…Figure 4 translate all GTO algorithm steps. The fitness functiom used witn this algorithm to monitor the error value and reduce it each iteration ITAE function [25].…”

Section: Competition For Adult Femalesmentioning

confidence: 99%

Dual stage cascade controller for temperature control in greenhouse

Abood

Kadhim²,

Mohammed³

2023

Bulletin EEI

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In this paper, a dual stage cascade controller PI-(1+PD) is adopted to maintain and control temperature in greenhouse environment based on a smart and intelligent gorilla troops optimization (GTO) method for evaluating the controller gains to enhance the system response by reducing the error value and minimize the integral time absolute error (ITAE) fitness functions during simulation. The simulation results are obtained by using MATLAB 2019, then compared with two conventional controllers proportional integral derivative (PI and PID) based on evaluation parameters for all controllers in term of peak time, rise time, settling time and overshoot to show its efficient response if compared with other controllers used.

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“…Figure 4 translate all GTO algorithm steps. The fitness functiom used witn this algorithm to monitor the error value and reduce it each iteration ITAE function [25].…”

Section: Competition For Adult Femalesmentioning

confidence: 99%

Dual stage cascade controller for temperature control in greenhouse

Abood

Kadhim²,

Mohammed³

2023

Bulletin EEI

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“…The proposed technique has a beneficial role in various practical applications such as robotics [24,25], nonlinear systems with uncertainty [26,27], motors [28,29], and power electronics [30,31]. Backstepping control (BSC) method is capable of reaching desirable prospects and reaching better stability insurance on the operation.…”

Section: Introductionmentioning

confidence: 99%

Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter

Khavari

Ghamari

Abdollahzadeh

et al. 2023

IET Control Theory & Appl

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A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which can guarantee convergence along with asymptotic stability of the system. Also, the black‐box technique is applied for the proposed system, which does not require an accurate mathematical model resulting in a lower computational burden, easy implementation, and lower dependency on the states of the model. On the other hand, for wider ranges of disturbances, including parametric variations, load uncertainty, supply voltage variation, and noise, this approach shows an unsuitable practical application based on its fixed gain values; therefore, the control parameters need to be optimized again to provide ideal operations. Type‐2 fuzzy structure is adopted here to optimize the gains of the ABSM in challenging conditions. Type‐2 fuzzy (T2F) has higher efficiency and faster dynamics with more adaptability to the system. To enhance the performance of the T2F, antlion optimization (ALO) has been used in this structure. ALO is a modern nature‐inspired algorithm, and it has some advantages over other optimizing algorithms. Furthermore, it has ability to find optimal answers in a shorter time, more accurately in contrast to the other optimization algorithms and is used to tune the membership function parameters of the (T2F) under the diverse search spaces. To depict the strength of the designed work, fuzzy‐PID and backstepping schemes proposed to carry out an analysis with this work.

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“…Backstepping provided appropriate drive-by-wire control for road irregularities. Abood et al [41] presented a backstepping controller for DC motor speed control, showing superior performance compared to conventional PID and PI controllers in terms of rise and settling time. Wang et al [42] studied backstepping control with a grey signal predictor for a nonlinear active suspension system with a mechanical elastic wheel.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear position control of electro-hydraulic servo system based on lyapunov robust integral backstepping controller

Enyan,

Bing,

Junsen

et al. 2023

Eng. Res. Express

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In electro-hydraulic servo systems (EHSS), high nonlinearity and time-varying features limit the hydraulic actuator performance. In feedback-based systems, linearization reduces nonlinearities. Their cancellation may produce instability when modeling uncertainty exists. This work uses a robust nonlinear controller based on Lyapunov theory to control the nonlinear position of the electro-hydraulic servo system (EHSS). The dynamics of the system were modeled as extensively as possible, then a simplified mathematical model based on the EHSS dynamics was created for the controller design. Integral backstepping was used to design the nonlinear robust controller utilizing the Lyapunov theory of nonlinear systems. Lyapunov functions theoretically ensured closed-loop stability. Comparative simulation analysis and experimental investigation in real-time with the proportional integral derivative (PID) controller optimized offline for position tracking control were carried out. Besides tracking performance and steady-state error, the mean square error (MSE), the root mean square error (RMSE), the maximum absolute value of tracking errors 〖(M〗_e), and the standard deviation of tracking errors (σ) was utilized to evaluate the controllers' performance. The simulation analysis and experimental verification were accomplished under various sinusoidal trajectories using different testing conditions (amplitudes, frequencies, and external disturbance), in all testing conditions the effectiveness of the robust nonlinear integral backstepping controller was demonstrated.

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Optimal backstepping controller for controlling DC motor speed

Cited by 13 publications

References 20 publications

Dual stage cascade controller for temperature control in greenhouse

Dual stage cascade controller for temperature control in greenhouse

Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter

Nonlinear position control of electro-hydraulic servo system based on lyapunov robust integral backstepping controller

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