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Identification-based 3 DOF model of unmanned surface vehicle using support vector machines enhanced by cuckoo search algorithm

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OCEAN ENGINEERING 2020年 197卷 106898-106898页

作者： Xu, Peng-Fei Cheng, Chen Cheng, Hong-Xia Shen, Ya-Lin Ding, Yan-Xu Hohai Univ Coll Harbor Coastal & Offshore Engn Inst Marine Vehicle & Underwater Technol Nanjing Jiangsu Peoples R China

The combination of least square support vector machine (LS-SVM) and cuckoo search (CS) algorithm was first proposed to identify the dynamic models of unmanned surface vehicle (USV). The 3-DOF of Abkowitz model was selected to describe the USV's dynamics. The zigzag test was carried out in the Qinghuai river. The input data and output data obtained by the experiment were selected and filtered to identify the USV's dynamics. The back propagation neural network (BPNN) is a popular method to identify the ship dynamics and was adopted, in this paper, to compare the LSSVM. In addition, the frequently optimization algorithm including particle swarm optimization (PSO) and cross validation (CV) were also selected to enhance the LSSVM which compare to the CS-LSSVM. The results showed that the CS-LSSVM had a better predictive capability than the BPNN, PSO-LSSVM and CV-LSSVM in predicting the surge velocity and sway velocity and the values were close to the experimental data. The related mean square errors of CS-LSSVM was the lowest in these methods and has the fastest convergence speed. It can be tested that CS-LSSVM would be a potential method to online parameter identification for USV in the future.

关键词： Unmanned surface vehicle System identification Support vector machine cuckoo search algorithm Zigzag test

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A Novel Order Reduction Method Using cuckoo search algorithm

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IETE JOURNAL OF REsearch 2015年第2期61卷 83-90页

作者： Sikander, A. Afzal Prasad, B. Rajendra Indian Inst Technol Roorkee Dept Elect Engn Roorkee Uttar Pradesh India Graph Era Univ Dept Elect & Elect Engn Dehra Dun India

In this paper, a novel method is presented to obtain stable reduced-order model of higher order linear time invariant continuous systems using optimization technique. In order to perform optimization, a new meta-heuristic search algorithm, called cuckoo search (CS) is applied which is inspired by the natural behaviour of cuckoo species including the Levy flight behaviour of some birds and fruit flies. The effectiveness of the proposed method is supported by some numerical examples of single input single output (SISO) systems and the results are compared with other well-known methods available in the literature in terms of most popular performance indices like integral square error, integral absolute error, and integral time absolute error. The method is extended for multi input multi output (MIMO) systems also.

关键词： Optimization cuckoo search algorithm Order Reduction Integral Square Error

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Active Distribution System Planning for Low-carbon Objective using cuckoo search algorithm

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2014年第2期9卷 433-440页

作者： Zeng, Bo Zhang, Jianhua Zhang, Yuying Yang, Xu Dong, Jun Liu, Wenxia North China Elect Power Univ Sch Econ & Management Beijing Peoples R China North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing Peoples R China

In this study, a method for the low-carbon active distribution system (ADS) planning is proposed. It takes into account the impacts of both network capacity and demand correlation to the renewable energy accommodation, and incorporates demand response (DR) as an available resource in the ADS planning. The problem is formulated as a mixed integer nonlinear programming model, whereby the optimal allocation of renewable energy sources and the design of DR contract (i.e. payment incentives and default penalties) are determined simultaneously, in order to achieve the minimization of total cost and CO2 emissions subjected to the system constraints. The uncertainties that involved are also considered by using the scenario synthesis method with the improved Taguchi's orthogonal array testing for reducing information redundancy. A novel cuckoo search (CS) is applied for the planning optimization. The case study results confirm the effectiveness and superiority of the proposed method.

关键词： Active distribution system Low-carbon Renewable distributed generation Flexible load Scenario reduction cuckoo search algorithm

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Stability analysis of multimachine thermal power systems using the nature-inspired modified cuckoo search algorithm

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2014年第5期22卷 1099-1115页

作者： Rangasamy, Shivakumar Manickam, Panneerselvam Sona Coll Technol Salem Tamil Nadu India

The stability of modern interconnected thermal power systems is greatly affected by the presence of low-frequency inertial oscillations in the system, due to various forms of disturbances experienced. This paper provides an efficient damping solution to these oscillations based on nature-inspired modified cuckoo search algorithm-based controller design. The proposed controller design is formulated as a parameter optimization problem based on damping ratio and time-domain error deviations. The effectiveness of the proposed damping controller design is illustrated by performing the nonlinear time domain simulations of the test multimachine power systems under various operating conditions and disturbances. Moreover, an exhaustive comparative stability analysis is performed based on the damping performance of the modified cuckoo search controller design over the genetic algorithm-based and cuckoo search algorithm-based controller designs.

关键词： Low-frequency inertial oscillations damping ratio nature-inspired optimization cuckoo search algorithm multimachine thermal systems

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Optimal location of STATCOM in multimachine power system for increasing loadability by cuckoo search algorithm

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年第0期80卷 240-251页

作者： Abd-Elazim, S. M. Ali, E. S. Zagazig Univ Fac Engn Elect Power & Machine Dept Zagazig 44519 Egypt

A new metaheuristic method, the cuckoo search (CS) algorithm, based on the life of a bird family is proposed in this paper for optimal design of static synchronous compensator (STATCOM) in a multimachine environment. PV curves are illustrated to determine the best location of STATCOM. The STATCOM parameter tuning problem is converted to an optimization problem which is solved by CS algorithm. The performance of the proposed CS based STATCOM (CSSTATCOM) is compared with Genetic algorithm (GA) based STATCOM (GASTATCOM) and open loop STATCOM under various operating conditions and disturbances. The superiority of the proposed technique in damping oscillations and enhancing voltage profiles is confirmed through eigenvalues and time domain simulation results over the GA and open loop one. (c) 2016 Elsevier Ltd. All rights reserved.

关键词： cuckoo search algorithm Genetic algorithm STATCOM Multimachine system Power system stability Loadability

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Hybrid Taguchi-cuckoo search algorithm for optimization of a compliant focus positioning platform

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APPLIED SOFT COMPUTING 2017年 57卷 526-538页

作者： Thanh-Phong Dao Shyh-Chour Huang Pham Toan Thang Ton Duc Thang Univ Inst Computat Sci Div Computat Mechatron Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Elect & Elect Engn Ho Chi Minh City Vietnam Natl Kaohsiung Univ Appl Sci Dept Mech Engn 415 Chien Kung Rd Kaohsiung 80778 Taiwan Ton Duc Thang Univ Inst Computat Sci Div Computat Math & Engn Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Civil Engn Ho Chi Minh City Vietnam

A long positioning range and a high first natural frequency are the two most important quality responses of a compliant focus positioning platform (CFPP). This paper aims to develop a hybrid Taguchi-cuckoo search (HTCS) algorithm to optimize overall the quality responses, simultaneously. The CFPP is designed via using flexure hinges. The length, width, and thickness of flexure hinges are considered as design variables. The Taguchi's L16 orthogonal array is used to establish the experimental layout and the S/N ratios of each response are computed. The analysis of variance (ANOVA) is computed to investigate the effect of design parameters on the quality responses. Results of ANOVA are then utilized to limit the search space of design parameters that serves as initial population for the cuckoo search meta-heurist algorithm. The results showed that the HTCS algorithm is more effective than DE, GA, PSO, AEDE, and PSOGSA. The CFPP enables a long positioning range of 188.36 pin and a high frequency response of 284.06 Hz. The proposed HTCS approach can effectively optimize the multiple objectives for the CFPP and would be useful technique for related optimization problems. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Compliant mechanism Flexure hinge Taguchi method cuckoo search algorithm

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Constrained cuckoo search algorithm and Takagi-Sugeno fuzzy models for predictive control

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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2021年第5期43卷 1088-1101页

作者： Taeib, Adel Salhi, Hichem Chaari, Abdelkader Univ Tunis Natl High Sch Engineers Tunis Lab Ind Syst & Renewable Energies Engn 13 Ave Taha Hussein Tunis 1008 Tunisia Univ Tunis El Manar Lab Anal Design & Control Syst Fac Sci Tunis Tunis Tunisia

In this paper, a new predictive control scheme formulated by using the Takagi-Sugeno fuzzy modeling method and a new constrained cuckoo search algorithm. The cuckoo search algorithm is used to determine the predictive controls by minimizing a constrained criterion. The Takagi-Sugeno fuzzy modelling approach is applied to forecast the states of the process. At the optimization stage, the proposed cuckoo search provides the control action taking into account constraints. The performances of the developed method are tested during its application in the three-tank process. Therefore, the experimental results demonstrate that the combination of the philosophy of the fuzzy model and cuckoo search is very good in the controlling of nonlinear processes. In addition, the closed-loop performance of the developed method is compared to approach based with the particle swarm optimisation algorithm and those obtained with fuzzy model predictive controller.

关键词： Model predictive control adaptive Takagi-Sugeno fuzzy model cuckoo search algorithm three tank system

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Optimum wavelet based masking for the contrast enhancement of medical images using enhanced cuckoo search algorithm

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COMPUTERS IN BIOLOGY AND MEDICINE 2016年 71卷 149-155页

作者： Daniel, Ebenezer Anitha, J. Karunya Univ Dept Elect & Commun Engn Coimbatore 641114 Tamil Nadu India

Unsharp masking techniques are a prominent approach in contrast enhancement. Generalized masking formulation has static scale value selection, which limits the gain of contrast. In this paper, we propose an Optimum Wavelet Based Masking (OWBM) using Enhanced cuckoo search algorithm (ECSA) for the contrast improvement of medical images. The ECSA can automatically adjust the ratio of nest rebuilding, using genetic operators such as adaptive crossover and mutation. First, the proposed contrast enhancement approach is validated quantitatively using Brain Web and MIAS database images. Later, the conventional nest rebuilding of cuckoo search optimization is modified using Adaptive Rebuilding of Worst Nests (ARWN). Experimental results are analyzed using various performance matrices, and our OWBM shows improved results as compared with other reported literature. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Contrast enhancement cuckoo search algorithm Genetic algorithm Unsharp masking Wavelet transforms Medical imaging

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Wireless Sensor Network Localization Based on cuckoo search algorithm

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WIRELESS PERSONAL COMMUNICATIONS 2014年第1期79卷 223-234页

作者： Goyal, Sonia Patterh, Manjeet Singh Punjabi Univ Univ Coll Engn Dept Elect & Commun Engn Patiala 147002 PB India

Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field to perform sensing and acting task. The goal of localization is to assign geographical coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, the cuckoo search algorithm is implemented to estimate the sensor's position. The proposed approach has been compared in terms of localization error with particle swarm optimization (PSO) and various variants of biogeography based optimization (BBO). The results show that our method outperforms the PSO and BBO variants which are recently used in the literature.

关键词： Wireless sensor network Localization cuckoo search algorithm Optimization

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Comparison of performances of several cuckoo search algorithm based 2DOF controllers in AGC of multi-area thermal system

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2014年 55卷 429-436页

作者： Dash, Puja Saikia, Lalit Chandra Sinha, Nidul Natl Inst Technol Silchar Dept Elect Engn Silchar Assam India

This paper presents the automatic generation control (AGC) of an unequal three area thermal system with single reheat turbine and generation rate constraints of 3%/min in each area. A two degree of freedom (2DOF) controller called 2DOF - integral plus double derivative (2DOF - IDD) is proposed for the first time in AGC as secondary controller. Secondary controller gains and other parameters are simultaneously optimized using a more recent and powerful evolutionary computational technique called cuckoo search algorithm (CS). The system dynamic responses obtained with 2DOF - IDD controller are compared with that obtained with other 2DOF controllers such as 2DOF - Proportional-Integral (2DOF - PI), 2DOF Proportional - Integral-Derivative (2DOF - PID). Investigations reveals that 2DOF - PI, and 2DOF - PID provide more or less same response where as 2DOF - IDD controller provides much better response than the others. Sensitivity analysis reveals that the CS optimized 2DOF - IDD controller parameters obtained at nominal condition of loading and nominal size of step load perturbation (SLP) are robust and need not be reset with wide changes in system loading and (SLP). (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Automatic generation control cuckoo search algorithm Generation rate constraint Sensitivity analysis Two degree of freedom controllers

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