TY - GEN
T1 - Distributed measurement and control system of the test-rig of ram-compressed rotor aero-engine based on PLC and PXI bus
AU - Zhao, Yang
AU - Qiu, Hongzhuan
AU - Song, Hua
PY - 2012
Y1 - 2012
N2 - This paper presents a design for RCT, based on the new concept of a RRAE, acting as an experiment platform for studying the major characteristics of RRAE and simulating its working states. It is also the first time that a DMCS, based on PXI bus for measurement and Programmable Logic Controller for control, is used in the test-rig of RRAE. As an essential part of DMCS, the DCS needs the ability of self-adjusting to adapt to the dynamic and complex MIMO process of RCT, i.e. to realize a SDCS. As a conventional PID controller has deficiencies in adapting to the environmental changes, a supervisory fuzzy controller based on Artificial Intelligent (AI) is required to adjust the PID controller inputs., hence an AFPID controller is designed here to adjust the three PID parameters (kp,ki,kd) online in SDCS. The AFPID controller is implemented on an industrial PC utilizing Matlab Fuzzy Toolbox and Visual Studio software development. The experiment results indicate that this DMCS design in RCT presents excellent qualities both in measurement and control performance during the experimental process. The hardware and software configurations are also described in detail.
AB - This paper presents a design for RCT, based on the new concept of a RRAE, acting as an experiment platform for studying the major characteristics of RRAE and simulating its working states. It is also the first time that a DMCS, based on PXI bus for measurement and Programmable Logic Controller for control, is used in the test-rig of RRAE. As an essential part of DMCS, the DCS needs the ability of self-adjusting to adapt to the dynamic and complex MIMO process of RCT, i.e. to realize a SDCS. As a conventional PID controller has deficiencies in adapting to the environmental changes, a supervisory fuzzy controller based on Artificial Intelligent (AI) is required to adjust the PID controller inputs., hence an AFPID controller is designed here to adjust the three PID parameters (kp,ki,kd) online in SDCS. The AFPID controller is implemented on an industrial PC utilizing Matlab Fuzzy Toolbox and Visual Studio software development. The experiment results indicate that this DMCS design in RCT presents excellent qualities both in measurement and control performance during the experimental process. The hardware and software configurations are also described in detail.
UR - https://www.scopus.com/pages/publications/84873174156
U2 - 10.1109/CCA.2012.6402460
DO - 10.1109/CCA.2012.6402460
M3 - 会议稿件
AN - SCOPUS:84873174156
SN - 9781467345033
T3 - Proceedings of the IEEE International Conference on Control Applications
SP - 664
EP - 669
BT - 2012 IEEE International Conference on Control Applications, CCA 2012
T2 - 2012 IEEE International Conference on Control Applications, CCA 2012
Y2 - 3 October 2012 through 5 October 2012
ER -