Design of PIλDμ controller for robust flight control of a UAV using multi-objective bat algorithm

Katal, Nitish; Kumar, Parvesh; Narayan, Shiv

doi:10.1109/raecs.2015.7453296

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…Furthermore,

{PI}^{λ} D^{μ}

‐controllers feature an easy‐to‐use, menu‐driven system that allows users to quickly modify and troubleshoot parameters on the fly, which is not possible with CRONE controllers.

{PI}^{λ} D^{μ}

‐controllers are less expensive than CRONE controllers, making them an appealing option for those on a tight budget [27].…”

Section: Control Of the Wecsmentioning

confidence: 99%

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Mseddi,

Wali,

Abid

et al. 2024

Asian Journal of Control

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The focus of this study is on modeling and management of a Wind Energy Conversion System (WECS) based on a Hybrid Excitation Synchronous Generator (HESG). Using a wind simulator, two controllers, CRONE and H∞, are evaluated for Maximum Power Point Tracking (MPPT) and optimal rotation speed. The results show the CRONE controller's higher tracking capability, and robustness tests investigate the influence of parametric uncertainty. Space harmonic effects, commutation effects, and turbine shaft flexibility are all addressed in the sophisticated models. The introduction of Fractional Order Proportional‐Integral (FOPI) control for MPPT is a game changer. Although fractional calculus‐based accuracy and robustness are uncommon in WECS, they show promise for emissions reduction and increased energy efficiency. This work validates a dependable control approach inside an isolated HESG‐based WECS's power‐maximizing range. Extensive investigation of the parameters impacting FOPI control efficiency yields useful insights for effective MPPT control. A variable‐speed wind turbine (WT) is linked to a HESG through a multiplier, with a controller controlling generator coil excitation voltages and a rectifier connecting the WECS to a load. A thorough 3 kW HESG electrical model that includes generator space harmonics and converter commutation effects is among the contributions. For HESG‐based WECS stability, frequency analysis finds important resonant and anti‐resonant frequencies. These issues are addressed by a FOPI control technique, which ensures system stability and performance. The necessity of exact frequency analysis in HESG‐based WECS is highlighted by a step‐by‐step controller parameter tuning approach.

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“…Furthermore,

{PI}^{λ} D^{μ}

‐controllers feature an easy‐to‐use, menu‐driven system that allows users to quickly modify and troubleshoot parameters on the fly, which is not possible with CRONE controllers.

{PI}^{λ} D^{μ}

‐controllers are less expensive than CRONE controllers, making them an appealing option for those on a tight budget [27].…”

Section: Control Of the Wecsmentioning

confidence: 99%

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Mseddi,

Wali,

Abid

et al. 2024

Asian Journal of Control

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show abstract

“…Algorithms such as GWO have been used so far for such problems [521]. Katal et al have also used bat algorithm for robust flight control of a UAV [522].…”

Section: Optimal Guidance and Controlmentioning

confidence: 99%

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Darvishpoor,

Darvishpour,

Escarcega

et al. 2023

Drones

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This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration and studying their potential applications in drones. About 350 algorithms have been studied, and a comprehensive classification is introduced based on the sources of inspiration, including bio-based, ecosystem-based, social-based, physics-based, chemistry-based, mathematics-based, music-based, sport-based, and hybrid algorithms. The performance of 21 selected algorithms considering calculation time, max iterations, error, and the cost function is compared by solving 10 different benchmark functions from different types. A review of the applications of nature-inspired algorithms in aerospace engineering is provided, which illustrates a general view of optimization problems in drones that are currently used and potential algorithms to solve them.

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“…For these circumstances, reference [9] developed the robust adaptive PID controller based on UAV fuzzy logic. In reference [10], the UAV's robust response in the presence of uncertainties and disturbances was guaranteed to satisfy the path tracking performance. Moreover, the UAV needed to carry a robust controller that could respond quickly to reduce the risk of terrific descent and drift from its original position [11].…”

Section: Related Workmentioning

confidence: 99%

Maritime Buoyage Inspection System Based on an Unmanned Aerial Vehicle and Active Disturbance Rejection Control

Sheng

et al. 2021

IEEE Access

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The unmanned aerial vehicle (UAV) is inexpensive and offers a fast response speed and robust flexibility; thus, it is a promising tool in the maritime buoyage inspection scenario, which involves monitoring and accessing a lateral mark system far away from the coast. However, two main problems can occur during inspection. The first is extreme weather conditions, resulting in a deviation between the inspection route and the design route. The second is that the buoyage beacons are visited only once. Therefore, this article proposes a buoyage inspection system consisting of a single UAV and random coastal buoys. The UAV automatically takes off from the depot, performs a self-check on the buoy beacons, and then returns to the depot. A cascade active disturbance rejection controller (ADRC) is designed to adjust the real-time trajectory of the UAV system. A feasible trajectory planning method is also designed based on the continuous Hopfield neural network (CHNN) and genetic algorithm (GA) to minimize the inspection distance. Extensive simulations are conducted to demonstrate the effectiveness of the proposed method.

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Design of PIλDμ controller for robust flight control of a UAV using multi-objective bat algorithm

Cited by 5 publications

References 13 publications

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Maritime Buoyage Inspection System Based on an Unmanned Aerial Vehicle and Active Disturbance Rejection Control

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