Based On The Intelligent Control Of Synchronous Generator Excitation System

With the development of high speed and heavy load of the railway, People were moving towards greater reliance on the safety and stability of locomotive, the demands for the control systems were increasing. The excitation system of synchronous generator was the important element of control systems of diesel locomotive, its performance affected the function of the locomotive. In the process of controlling the system, because the synchronous generator exist vortex and saturation and the set point was time-varying, the performance of controller with fixed parameters went to the bad and couldn't satisfied the need. In addition, the tuning of controller parameters based on manual work wasted time and energy, couldn't assume that the controller satisfied the needs. The low-efficiency and big-inertia of the excitation sets were disadvantaged to improving and reforming the system performances.In this paper, a new excitation system based on the silicon-controlled rectifier is proposed for improving the system performances, instead of the old excitation system. A modified version of standard least squares algorithms was used in the nonlinear and time-varying synchronous generator system. The poles configurations method was proposed to obtain the parameters of the controller and the variable parameter control algorithm was devised to improving the dynamic and static capability of system.Aimed at some defects of the on-line identification, such as the identification needed too long time that maybe make the controlling performance instable, A self-tuning fuzzy controller have been designed. Knowledge base and control rule base were designed based on the identification of the system parameters, fuzzy decision lists were obtained by fuzzy inference, the controller parameters were self-tuning on-line. The excitation controller worked at on-line identification model when the system structures have been changed and updated fuzzy decision list when the identification have been succeeded, so the system have the ability of auto-learning.The feasibility of the silicon-controlled rectifier excitation system on thediesel locomotive was studied by experimentation, the availabilities of the variable parameter control algorithm> the least-squares algorithm and the fuzzy self-tuning algorithm were validated by simulations. The results indicated that the performances of the excitation system improved, railway got a great improvement of efficiency and realize the aim of the railway development. The new excitation system reaches the requirement of the diesel locomotive and has a high reference value for further applications.