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S.-J. Li and Y.-X. Liu (2011) An Improved Approach to Nonlinear Dynamical System Identification Using PID Neural Networks. International Journal of Nonlinear Sciences and Numerical Simulation, 7, 177-182.

has been cited by the following article:

• TITLE: Simulation Analysis of Control System in an Innovative Magnetically-Saturated Controllable Reactor

  AUTHORS: Xiao Jin, Guoqiang Zhang, Runrui Guo

  KEYWORDS: Controllable Saturation Reactor; Parameter Self-Tuning; PID Controller; Reactive Power Compensation

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.2 No.4, April 21, 2014

  ABSTRACT: Controllable saturation reactors are widely used in reactive power compensation. The control system of controllable saturation reactor determines adaption speed, accuracy, and stability. First, an innovative type of controllable saturation reactor is introduced. After that the control system is designed, and a self-tuning algorithm in PID controller is proposed in the paper. The algorithm tunes PID parameters automatically with different error signals caused by varied loads in power system. Then the feasibility of the above algorithm is verified by Simulink module of Matlab software. The results of simulation indicate that the control system can efficiently reduce adaption time and overshoot.