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Fan Duo-wang
Lanzhou Jiaotong University

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Simulation and experiment study of optimizational PID control with changing integration rate Hou Tao; Hong-xia Niu; Fan Duo-wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper is to demonstrate an optimizational PID control with changing integration rate approach, and it was validated and researched by applying to the two-linked tanks system. Analyzed the control principle of variable integral PID in this research, and optimized the variable function of variable integral PID control to improve the design.Deduced the improved variable integral PID control algorithm,and it was applied to the two-linked tanks system. And then made a simulation system and application experiment in the advanced process control experimental apparatus to value it. The results show that the optimizational variable integral PID control enables the system to improve the rapidity,stationarity and accuracy, also shows that the correctness and superiority of the control method. It really an useful method to provide a advanced way for the control system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1808
Speed Control for High-speed Railway on Multi-mode Intelligent Control and Feature Recognition Hou Tao; Niu Hong-xia; Fan Duo-wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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This paper is to put forward a new speed control method for the rapid development high-speed railway system. In this method, extracting the real-time feature information according to the characteristics of high-speed railway running process, and the inference engine find the matched characteristics mode in the characteristic pattern based on the current characteristics information. Using the speed closed-loop control design method, calculated the current speed error, and then based on the current error using the multi-modal intelligent control algorithm to control, and produce a corresponding controlled variable through the control rule set. And make a simulation system to value it. The results show that it has better dynamic performance and reliable steady-state performance.It a valuable  method to provide a advanced way for the train safer, faster and more comfort. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1642
Co-Authors Hong-xia Niu Hou Tao Niu Hong-xia