Title :
The application of electro-rheological technology on electro-hydraulic braking control system
Author :
Hou, Shuping ; Chen, Qi ; Su, Xiaoqin
Author_Institution :
Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
Abstract :
Computation software package realizes modularity design of modeling for new high performance materials applied to electrical engineering for the first time. Using fuzzy neural networks control (FNNC), the assumption of self-learning function is realized. This software package provides theoretical basis and device performance simulation methods for these materials application. The electro-rheological (ER) technology is as a novel frontier science with so many superior advantages and applications which has been given much attention to all over the world. The requirements for ER fluid´s substitution to traditional hydraulic oil are brought forward based on theory of ER effect and principle of engineering application. The control equation of ER valve is derived, and model of ER valve-cylinder actuator is constructed. A position control system based on ER valve-bridge actuator is simulated, and the performance of a hydraulic bridge circuit using for electro-rheological valves is analyzed. The simulation results show that the system has good dynamic performance.
Keywords :
electrohydraulic control equipment; electrorheology; fuzzy control; fuzzy neural nets; intelligent materials; neurocontrollers; position control; self-adjusting systems; software packages; valves; computation software package; electrohydraulic braking control system; electrorheological technology; electrorheological valves; fuzzy neural networks control; hydraulic bridge circuit; modularity design; self-learning function; valve-bridge actuator; Application software; Circuit simulation; Control systems; Electrical engineering; Erbium; Fuzzy control; Fuzzy neural networks; High performance computing; Software packages; Valves; ER-valve; bridge structure; electro-hydraulic braking control system; electro-rheological technology;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191591