Blended Chaos Control of Permanent Magnet Linear Synchronous Motor

Xie, Dongshen; Yang, Junhua; Cai, Haoran; Xiong, Fengjun; Huang, Baozhou; Wang, Wei

doi:10.1109/access.2018.2867160

Cited by 8 publications

(9 citation statements)

References 26 publications

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“…(3) No damper winding is installed on the mover; (4) Ignore the eddy current loss [29]. Given the edge effect of PMLSM, the chaotic mathematical model of PMLSM is derived from Parker transformation and radiation transformation [25]: where…”

Section: B the Chaotic State Equation Of Pmlsmmentioning

confidence: 99%

“…Accordingly, the control for the d-axis and the q-axis has been separated and independent on each other. Therefore, the fitness function is set as follows: (25) where…”

Section: Pso Optimizes Sliding Mode Control Parametersmentioning

confidence: 99%

“…In Ref. [25], an adaptive sliding mode control strategy was formulated to detach PMLSM from chaotic state under uncertain parameters. Nevertheless, the change of control parameters in sliding mode control will have a great impact on the control effect.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

et al. 2019

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In this paper, in order to investigate the chaos control problem of direct-drive wave power conversion system, the hydrodynamic model of Archimedes wave swing and the state equation of permanent magnet linear synchronous motor are analyzed, and a decoupling mathematical model of the wave power converter is built in combination with feedback decoupling system. The maximum Lyapunov exponent spectrum is used to verify the chaotic phenomenon of the direct-drive wave power converter, and the dynamic response of the converter when entering the chaotic state is explored. A composite sliding mode chaotic controller is proposed. Based on the BP neural network, the global effect of the control parameters is fitted, and the particle swarm optimization algorithm is adopted to optimize the parameters of sliding mode control to determine the optimal control parameters. The Lyapunov criterion is used in stability analysis to prove the effectiveness of the control strategy. The simulation reveals that the sliding mode control strategy can disengage the wave power converter from the chaotic state to the stable state. With particle swarm optimization, the strategy can shorten the response time, suppress the overshoot and enhance system robustness. INDEX TERMS Direct-drive wave power converter, chaos control, sliding mode control, particle swarm optimization, parameter optimization.

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Section: B the Chaotic State Equation Of Pmlsmmentioning

confidence: 99%

“…Accordingly, the control for the d-axis and the q-axis has been separated and independent on each other. Therefore, the fitness function is set as follows: (25) where…”

Section: Pso Optimizes Sliding Mode Control Parametersmentioning

confidence: 99%

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Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

et al. 2019

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“…To investigate how to control PMLSM to break away from chaos, the chaotic model of PMLSM is introduced from [17]:…”

Section: A Decoupled Chaotic Model Of Permanent Magnet Linear Motormentioning

confidence: 99%

“…Reference [16] proposed a Self-Adaptive Learning Bat-inspired Optimization algorithm for solving both offline and online parameter estimation problems for chaotic PMSM system. Reference [17] proposed an adaptive sliding mode control strategy to acclimate to the parameters changes and make the motor out of chaos. Though the chaotic state is eliminated, the output of the controller may have chattering effect due to the high switching frequency of the controller.…”

Section: Introductionmentioning

confidence: 99%

Strong Robust and Optimal Chaos Control for Permanent Magnet Linear Synchronous Motor

Yang

Xie

et al. 2019

IEEE Access

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To effectively solve the chaotic phenomenon problem in permanent magnet linear synchronous motor (PMLSM), this paper presents a novel control scheme combining radial basis function neural network (RBFNN), adaptive backstepping method, and particle swarm optimization (PSO) algorithm. By applying a feedback decoupling controller, a decoupled chaotic model of the PMLSM is constituted. In addition, in order to enhance the robustness of the system, the RBFNN is utilized to identify the uncertainties in PMLSM and the convergence of the overall closed-loop system, including unknown parameters is guaranteed based on the adaptive backstepping method. Moreover, the PSO is applied to promote the dynamic performance of the control system. The simulation results demonstrate the existence of chaotic phenomenon in the PMLSM. Besides, PSO-RBFNN controller that has strong robustness can make the motor out of chaos rapidly and smoothly, and identify the unknown parameters quickly and accurately.

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Parallel distributed compensation scheme for chaotic masking system via Rivest cipher 4 stream cipher

Hsiao

2023

IET Control Theory & Appl

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This study presents a design methodology for Takagi-Sugeno (T-S) fuzzy models-based secure communications in multiple time-delay chaotic (MTDC) systems with Rivest cipher 4 (RC4) algorithm. The main advantage of the RC4 algorithm is that the key length does not affect the encryption and decryption speeds. To block a hacker from stealing a message, this study proposes increasing the complexity of an encrypted message (ciphertext) using a method of double encryption using the RC4 algorithm and chaotic masking. As a result, this more secure communications system can effectively defend the encrypted message (ciphertext). First, the RC4 algorithm and a key are used to encrypt the initial message (plaintext). To enhance security, the encrypted message (ciphertext) is then converted into an encrypted signal, which is a double encryption using chaotic masking. Additionally, an improved genetic algorithm (IGA) is adopted in this study, it can seek better feedback gains of fuzzy controllers to speed up the synchronization. In accordance with the IGA, a model-based fuzzy controller is synthesized to exponentially stabilize the error systems so that the trajectories of the slave systems can approach those of the master systems. Finally, a numerical example with simulations is provided to illustrate the effectiveness of the proposed method.

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Blended Chaos Control of Permanent Magnet Linear Synchronous Motor

Cited by 8 publications

References 26 publications

Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

Strong Robust and Optimal Chaos Control for Permanent Magnet Linear Synchronous Motor

Parallel distributed compensation scheme for chaotic masking system via Rivest cipher 4 stream cipher

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