GA-based optimization of a MIMO ANC system considering coupling of secondary sources in a telephone kiosk

Montazeri, Allahyar; Poshtan, Javad

doi:10.1016/j.apacoust.2008.12.003

Cited by 18 publications

(13 citation statements)

References 29 publications

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“…This new simulation will allow subsequent integration with a lateral dynamic model [5] incorporating stability control that can target energy efficiencies and power deployment strategies, all with conveniently fast simulation timeframes. In this regard, the authors are presently investigating the use of State-Dependent [11] and Genetic Algorithm [12] optimization and control methods, and this will be reported in future articles.…”

Section: Resultsmentioning

confidence: 99%

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Model development and energy management control for hybrid electric race vehicles

Reeves

Montazeri

Taylor

2016

2016 UKACC 11th International Conference on Control (CONTROL)

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A Hybrid Electric Vehicle longitudinal dynamics model for the control of energy management is developed. The model is implemented using Simulink® and consists of a transitional vehicle speed input parameterized by, for example, the New European Driving Cycle. It is a backward looking model in that engine and motor on/off states are determined by the controller, dependent on wheel torque requirements and output targets. The objective of the simulation is to calculate tractive effort and resistance forces to determine longitudinal net vehicle force at the road. This article addresses model development and initial investigations of its dynamic behaviour in order to establish appropriate energy management strategies for the Hybrid Electric system. In particular, All Wheel Drive, Front Wheel Drive and Rear Wheel Drive drivetrain architectures are evaluated to determine minimum fuel usage and battery state of charge. The use of a logic controller allows a reduction of simulation time and ensures accurate results for charge depletion and harvesting. Simulated fuel consumption is within 1% of actual usage.

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Section: Resultsmentioning

confidence: 99%

“…Average tractive effort for some illustrative road surface materials is shown in Table 1. Equations (11) and (12) are both utilised in the case of an AWD vehicle, whilst either are dismissed or set to zero in the FWD or RWD configurations. …”

Section: B Equations Of Motionmentioning

confidence: 99%

Model development and energy management control for hybrid electric race vehicles

Reeves

Montazeri

Taylor

2016

2016 UKACC 11th International Conference on Control (CONTROL)

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“…Due to advantages of vibration signal analysis, in this paper, using vibration signals, we propose a strategy for detecting and classifying such rectifier bridge faults in brushless synchronous generator with the enhanced classification accuracy utilizing the wavelet transform and a modified sequential forward subset selection approach applied to the time-domain (statistical) features. Here the search is done over all parameters, nevertheless in case of a large number of parameters evolutionary algorithm can be used at this stage [21,22]. In this approach, both subset selection and MSVM parameter tuning are performed simultaneously which improves the classification performance.…”

Section: Introductionmentioning

confidence: 99%

Machine‐learning approach for fault detection in brushless synchronous generator using vibration signals

Rahnama

Vahedi

Mohammad‐Alikhani

et al. 2019

IET Science, Measurement & Technology

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In order to maintain continuous production and to avoid the maintenance cost increment in power plants, it is important to monitor the condition of equipment, especially the generator. Regarding the impossibility of direct access to rotating diodes in brushless synchronous generators, the condition monitoring of these elements is very important. In this paper, a novel fault detection method is proposed for the diode rectifier of brushless synchronous generator. At the first stage of this method, the vibration signals are recorded and feature extraction is performed by calculating the relative energy of discrete wavelet transform components. Multiclass support vector machine (MSVM) is used for classification, and the best mother wavelet and number of decomposition level are chosen based on classification performance. To enhance the performance of the classification, a modified sequential forward subset selection approach is included by which the best statistical features are selected. In this approach, besides selecting the best subset of statistical features, the classification parameter is tuned according to the selected subset to achieve the best performance. The result of the proposed method is eventually compared with those results of classification performance using conventional subset selection. Experimental results show that the proposed method can detect rectifier faults effectively.

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“…[2], [3]. Due to unknown and time-varying parameters of such complex electro-mechanical systems nonlinear optimisation techniques such as those applied in [4] and [5] are required to develop a reliable model. Nevertheless, due to large sizes of manipulators, other robotic platforms such as Unmanned Aerial Vehicles (UAVs) have also been deployed and tested for radiation mapping in decommissioning applications.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Novel Controller for Robust Attitude Stabilisation of an Unmanned Air Vehicle for Nuclear Environments

Nemati

Montazeri

2018

2018 UKACC 12th International Conference on Control (CONTROL)

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This study presents two new robust nonlinear control algorithms based on the theory of time-varying sliding mode control (TVSMC) strategy to stabilize the attitude of an unmanned aerial vehicle (UAV) for nuclear decommissioning applications. Constant radiation affects the UAV performance. For instance, its parameters are time-varying and subject to uncertainty all the time. This is especially important in designing sliding mode control as the motion of the control system in the reaching phase is highly sensitive against environmental disturbances and parameter uncertainties. In this study, two types of time-varying sliding manifolds are proposed to eliminate the reaching phase and to enhance the robust performance in the aforementioned phase. Therefore, two novel types of time-varying sliding surfaces are introduced based on the initial condition as intercept-varying sliding mode control (IVSMC) approaches. In the first proposed method, the reaching time from initial manifold to the desired one is similar to that of the conventional SMC method. While in the second proposed IVSMC scheme, one can accelerate or decelerate the motion of the time-varying sliding manifolds at any selected time. Furthermore, chattering phenomenon can be avoided using two techniques known as boundary layer and continuous SMC. Finally, to highlight the robust performance of the proposed methods, a quadrotor UAV subject to external disturbances is simulated.

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GA-based optimization of a MIMO ANC system considering coupling of secondary sources in a telephone kiosk

Cited by 18 publications

References 29 publications

Model development and energy management control for hybrid electric race vehicles

Model development and energy management control for hybrid electric race vehicles

Machine‐learning approach for fault detection in brushless synchronous generator using vibration signals

Design and Development of a Novel Controller for Robust Attitude Stabilisation of an Unmanned Air Vehicle for Nuclear Environments

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