A H∞ Robust control strategy of hydro turbine speed governor with surge tank

According to hydraulic subsystem specialty of hydro turbine speed governor system, the hydro turbine governor system control model with surge tank for hydraulic structure: reservoir-tunnel-surge tank-penstock-generator is established for the first time. The H double loop hydro turbine speed governor system robust controller is designed considering the character of hydraulic and power load disturbance. The system parameters and power load disturbance simulation results demonstrate that the controller can effectively restrain impact of system parameters and power load disturbance, keep output speed stable, possess nice robust performance, compared to traditional PID controller, which has more excellent regulating ability of speed and rejection load disturbance performance.

Active–disturbance–rejection–control and fractional–order–proportional–integral–derivative hybrid control for hydroturbine speed governor system

A novel approach named active–disturbance–rejection–control (ADRC) and fractional–order–proportional–integral–derivative (FOPID) hybrid control scheme is proposed for hydroturbine speed governor system, which is based on ADRC and FOPID control methods. By combining the advantages of ADRC and FOPID controllers, the proposed ADRC–FOPID hybrid control scheme can actively reject the unpredictable disturbance, even with random noises, and can be adapted to the nonlinearities as well as unknown dynamics of hydroturbine speed governor system. The control performances of ADRC–FOPID, ADRC, FOPID as well as conventional proportional–integral–derivative (PID) controllers have been compared. And ADRC–FOPID has been proved to be an effective control scheme for hydroturbine speed governor system.

Modeling and Simulation of Ship Generator Sets

This paper establishes the mathematical models of the ship generator sets, including the diesel, speed governor system, synchronous generator, excitation system and static load, simulates the ship generator sets by Matlab/Simulink software, and tests the performance of each system to verify effectiveness of the models. The simulation results indicate that the whole system model meets technical requirements of military standard GJB.

Parameter Identification Method for Turbine Speed Governor System Based on Particle Swarm Optimization

A parameter identification method for generator speed governor system, which combines decoupling parameter identification and overall recognition with measured data, was proposed in the paper. The method bases on particle swarm optimization, and takes parameter identification as a parameters optimization problem under evaluation function. According to an intelligent optimization algorithms evolutionary strategy, the individual's status is continuously adjusted until the identification system and actual system output error is sufficiently small. Case studies show that the proposed method can be applied to the measured parameters and model validation work.

Parameter Identification of Steam Turbine Speed Governor System

The dynamic characteristics of the steam turbine speed governor system is one of the major factor that influence the security of the power system. It has important practical significance for the security of the power system to establish the detailed dynamic model of the steam turbine speed governor system through parameter identification. This paper starts from the actual needs of the modeling of steam turbine speed governor system, several key issues such as field test of the speed control system, data preprocessing, parameter identification and simulation verification are researched, the solution of the key problems in the field static test and dynamic disturbance test is summarized, a variety of data preprocessing algorithms and parameter identification algorithms are achieved, and a new method for the simulation verification is proposed. On this basis, software based on MATLAB for the parameter identification of the steam turbine governor system is developed, which can perform the data preprocessing, parameter identification and simulation verification. The software offers a variety of parameter identification method to identify the linear and nonlinear part of the system model quickly and efficiently, and provides detailed qualitative and quantitative method for the evaluation of the simulation verification. The parameter identification results of steam turbine governor system of a power plant show that the software is user friendly and feature rich, and also show that it can complete parameter identification of steam turbine speed governor system intelligently and precisely.