Rongbao Chen

Work place: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China

E-mail: crbwish@126.com

Website:

Research Interests: Intrusion Detection System, Detection Theory

Biography

Rongbao Chen: was born on October 21, 1960 in Shanghai, China. He received his B.Sc. degree and Ph.D. degree from Shanghai University, China, in 1983 and 2010, respectively. Since 1983, he has joined Hefei University of Technology, China. Now he is an Associate Professor in Measure Technology and Automation Subjects. His current research interests include Image Detection, Sensor, Intelligent Instrument.

Author Articles
PID Controller Parameters Tuning Based-on Satisfaction for Superheated Steam Temperature of Power Station Boiler

By Benxian Xiao Jun Xiao Rongbao Chen Yanhong Li

DOI: https://doi.org/10.5815/ijitcs.2014.07.02, Pub. Date: 8 Jun. 2014

Proposed the PID controller parameters tuning method based-on New Luus-Jaakola (NLJ) algorithm and satisfaction idea. According to the different requirements of each performance index, designed the satisfaction function with fuzzy constraint attributes, and then determined the comprehensive satisfaction function for PID tuning by NLJ algorithm. Provided the steps of PID controller parameters tuning based on the NLJ algorithm and satisfaction, and applied this tuning method to the cascade control system of superheated steam temperature for Power Station Boiler. Finally the simulation and experiment results have shown the proposed method has good dynamic and static control performances for this complicated superheated steam temperature control system.

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Research of IGPC Control Strategy Based-on Hybrid Optimization for Power Station Boiler Superheated Steam Temperature

By Benxian Xiao Rongbao Chen Jun Xiao

DOI: https://doi.org/10.5815/ijitcs.2014.02.05, Pub. Date: 8 Jan. 2014

Implicit Generalized Predictive Control (IGPC) algorithm can directly identify controller parameters without the need of solving Diophantine equation, thus can reduce the on-line algorithm computation time. In order to improve IGPC performance and extend its application, modified Particle Swarm Optimization (PSO) algorithm is introduced into IGPC rolling horizon optimization, combined with general IGPC gradient optimization method under unconstrained condition, a new hybrid optimization method is obtained, this modified IGPC can be used to both of the non-constraint industry process control and the constraint industry process control. Aiming at the superheated steam temperature control of sub-critical 600MW boiler, a new cascade compound control strategy that combines an outer loop IGPC master adjuster and an inner loop PID auxiliary adjuster is adopted. Finally the simulation results have shown that the proposed method can constrain the control action, prevent dramatic change of the input signal, thus can achieve good static and dynamic performances.

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