Thông tin chung
  English
  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác
  Tài liệu tham khảo
  Hiệu chỉnh
 
Số người truy cập: 107,307,938

  An Iterative Learning Control of the Parallel Gas Turbines with the Crossing Link
Tác giả hoặc Nhóm tác giả: Nguyen Hoang mai, Nguyen Pham Cong Duc
Nơi đăng: JARDCS journal USA 2019; Số: Volume 11 | 12-Special Issue;Từ->đến trang: 599-607;Năm: 2019
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Gas turbine engine has the highest performance in the engine rotation able up to 44%. In specific applications, gas turbines are used for equipment such as electrical generators, aircraft engines, high-speed boat ... There is a problem with shared power of the GT when we need control parallel GTs. Gas turbine system can use into transmission turbines, cabinet pull in the general. This paper presents an iterative learning controller (ILCer) to control the Parallel Gas Turbines (PGTs) with the speed synchronization. Using Rowen’s model to study control gas turbine and analyze system on the combined ILC with PID to compensate control signals. GTs are a nonlinear delay system, we can’t use PID as a linear system. The application of intelligence to GTs provides a good method to replace traditional controllers. Simulation results for a parallel turbine system with combination of 32MW to explain the theory for detail. We will see that ILC can apply into practice with combination PID controllers to increase control qualities.
ABSTRACT
Gas turbine engine has the highest performance in the engine rotation able up to 44%. In specific applications, gas turbines are used for equipment such as electrical generators, aircraft engines, high-speed boat ... There is a problem with shared power of the GT when we need control parallel GTs. Gas turbine system can use into transmission turbines, cabinet pull in the general. This paper presents an iterative learning controller (ILCer) to control the Parallel Gas Turbines (PGTs) with the speed synchronization. Using Rowen’s model to study control gas turbine and analyze system on the combined ILC with PID to compensate control signals. GTs are a nonlinear delay system, we can’t use PID as a linear system. The application of intelligence to GTs provides a good method to replace traditional controllers. Simulation results for a parallel turbine system with combination of 32MW to explain the theory for detail. We will see that ILC can apply into practice with combination PID controllers to increase control qualities.
[ 2020\2020m09d07_8_48_17PPT.pdf ]
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn