Moth-Flame Optimization-Based Fuzzy-PID Controller for Optimal Control of Active Magnetic Bearing System

Dhyani, Abhishek; Panda, Manoj Kumar; Jha, Basant K.

doi:10.1007/s40998-018-0077-1

Cited by 25 publications

(11 citation statements)

References 40 publications

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“…Due to this, the moths never lose the best solution. Moths update its position with respect to flame according to the next equation (27) where M i represents the i-th moth, F j represents the j-th flame and S is the spiral function. The logarithmic spiral function for the movement can be defined as:…”

Section: Overview Of Moth-flame Optimization Algorithmmentioning

confidence: 99%

“…In this context, different optimization techniques, such as cuckoo search algorithm (CSA) [14], biogeography-based optimization (BBO) [16], firefly algorithm (FA) [17], hybrid FA-pattern search [18], krill herd algorithm [19], flower pollination algorithm (FPA) [12], hybrid flower pollination algorithm (HFPA) [20], grey wolf optimization algorithm (GWO) [21], bacterial foraging algorithm [22], particle swarm optimization (PSO) [23], differential evolution [24], artificial bee colony (ABC) [25], whale optimization algorithm (WOA) [26], moth-flame optimization algorithm (MOA) [27], dragonfly algorithm (DA) [13] have been developed and can be used to compute the optimal PID controller gains of many dynamic systems. However, useful algorithms' performance depends on the adequate search procedure, which implies the correct objective function definition, search limits, the setting the search algorithm control parameters, and the complexity of the analysis system.…”

Section: Introductionmentioning

confidence: 99%

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Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

2020

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Proportional integral (PI) control is still the most widely deployed controller in the industrial drives due to its simplicity and the fact that it is easy to understand and implement. Nevertheless, they are successes applied to systems with a complex behavior with a nonlinear representation, but a disadvantage is the procedure to find the optimal PI controller gains. The optimal values of PI parameters must be computed during the tuning process. However, traditional tuning techniques are based on model and do not provide optimal adjustment parameters for the PI controllers because the transient response could produce oscillations and a large overshoot. In this paper, six swarm intelligence-based algorithms (whale, moth-flame, flower pollination, dragonfly, cuckoo search, and modified flower pollination), are correctly conditioned and delimited to tune the PI controllers, the results are probed in a typical industry actuator. Also, a rigorous study is developed to evaluate the quality and reliability of these algorithms by a statistical analysis based on non-parametric test and post-hoc test. Finally, with the obtained results, some time simulations are carried out to corroborate that the nonlinear system performance is improved for high precision industrial applications subjected to endogenous and exogenous uncertainties in a wide range of operating conditions.

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Section: Overview Of Moth-flame Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

2020

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“…Zhong et al [23] employed a PD controller for position control utilizing a homopolar EM actuator. Dhayani et al [24] utilized optimized fuzzy-PID controller for AMB stabilization and the controller performance is compared with conventional controllers. Lee et al [25] proposed a hybrid type AMB design for robotic arm and milling spindle application.…”

Section: Introductionmentioning

confidence: 99%

Investigation of a 2-DOF Active Magnetic Bearing Actuator for Unmanned Underwater Vehicle Thruster Application

Ahad

Ahmad

2021

Actuators

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In this work, a novel application of Active Magnetic Bearing (AMB) is proposed to integrate AMB in the Magnetically Coupled Thruster (MCT) assembly for underwater application. In this study, a 2-Degree-Of-Freedom (DOF) AMB is developed and investigated for the MCT of an Unmanned Underwater Vehicle (UUV). The paper presents the detailed electro-mechanical modeling of the in-house developed AMB system. The intractable problem of rotor suspension and rotation with opposing pairs of electromagnets is considered. A Linear Quadratic Gaussian (LQG) controller is designed and analyzed in the frequency domain for the stabilization of the open-loop unstable AMB for MCT. The performance specifications of the controller, such as reference tracking and disturbance rejection are achieved and evaluated through real-time implementation of the controller. The compensator also performed reasonably well during the dynamic operations, i.e., when the rotor-propeller assembly was spun at 1500 rpm. This rotor speed is needed to generate a thrust of 40–45 N and up to 1 m/s forward velocity, which is necessary to propel the UUV under consideration. By deploying AMB in MCT assembly, it is anticipated that problems associated with the conventional directly coupled thruster operating in harsh underwater environment, such as water ingress into electronics compartment, rusting, lubrication, and vibrations would be eliminated.

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“…The fuzzy logic-based intelligent control strategy is introduced. 14 Besides, the fractional-order PID control is designed to achieve more favorable dynamic performance. 15 In order to reduce rotor response and improve levitation accuracy, the derivative control action is proposed to be high-frequency band-limited.…”

Section: Introductionmentioning

confidence: 99%

Implementation of vibration and stability evaluation criteria for rotating machineries equipped with active magnetic bearings

Peng

Deng

et al. 2021

Advances in Mechanical Engineering

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Imbalance vibration is the main factor affecting the stability of rotating machineries equipped with active magnetic bearings (AMB). Accordingly, for safe and reliable operation, ISO 14839 standard sets out guidelines for measuring and evaluating the vibration and stability. However, technical approaches to realize fulfillment of the evaluation criteria have never been studied in theory. This paper presents insights of these criteria and proposes effective methods to simultaneously implement these evaluation criteria. Based on imbalance vibration model of AMB-rotor system, the theoretical connections between these evaluation indices are revealed. In order to obtain accurate vibration model of single-input single-output (SISO) AMB-rotor system, modal analysis is carried out and equivalent mass of SISO system is figured out. Afterwards, with the analysis of sensitivity function in theory, new indices of the evaluation criteria are proposed, which helps establish requirements of controller design and rotor balance quality. Finally, through experimental verification on a test rig, the limitations on the evaluation criteria can be negligible, and the proposed methods to simultaneously implement the evaluation criteria are validated.

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Moth-Flame Optimization-Based Fuzzy-PID Controller for Optimal Control of Active Magnetic Bearing System

Cited by 25 publications

References 40 publications

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

Investigation of a 2-DOF Active Magnetic Bearing Actuator for Unmanned Underwater Vehicle Thruster Application

Implementation of vibration and stability evaluation criteria for rotating machineries equipped with active magnetic bearings

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