Title: Complex electromechanical system condition monitoring based on improved particle swarm optimisation RBF for audio visual fusion

Authors: Xu Jiangwei; Li Tiejun; Zhang Liang

Addresses: School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China; Beijing C&W Electronics (Group) CO., LTD., Beijing, 100015, China ' School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China ' School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China

Abstract: To improve transient stability of multi-generator power system, continuous high-order sliding mode excitation control strategy is put forward. Power angle deviation of each generator is the variable of sliding mode. Nonlinear and uncertain high-order sliding mode control of multi-generator power system is transferred into limited time stability problem of uncertain integral chain system. Limited time convergence of system condition is realised and overcoming uncertainty, such as unmodeled dynamics of system, measuring error and external disturbance, etc., through combination of controller and geometric homogeneous continuous control law and second-order sliding mode super-twisting algorithm. Power angle differential with precise robust differentiator is observed. Limited time stability of closed-loop system theoretically is analysed and verified. High-order sliding mode excitation controller designed can keep voltage stability at generator terminal and improves transient stability of power system effectively. Simulation result aimed at three-generator system verifies effectiveness of control method mentioned.

Keywords: multi-generator power system; transient stability; continuous high-order sliding mode; excitation control; condition monitoring.

DOI: 10.1504/IJRIS.2017.090045

International Journal of Reasoning-based Intelligent Systems, 2017 Vol.9 No.3/4, pp.170 - 176

Received: 22 May 2017
Accepted: 10 Jun 2017
Published online: 27 Feb 2018 *

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