Intelligent Control with DSP-Based for Active Suspension Systems

• Main Authors: Sen-Lin Wang, 王森麟
• Other Authors: 林百福
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/c929x5

碩士 === 國立臺北科技大學 === 車輛工程系所 === 93 === This work designed and constructed a quarter-car hydraulic-servo active suspension system to explore its control performance. The system has nonlinear dynamic characteristics and uncertainty, so designing a model-based controller to control it is difficult because its mathematical model is hard to establish accurately. Therefore, this study develops model-free intelligent control strategies: (1) traditional fuzzy controller (TFC), (2) self-organizing fuzzy controller (SOFC), and (3) fuzzy controller with radial basis function network (FCRBFN), to control this system for evaluating its control performance. Moreover, in order to conform to the requirement in the practical industrial application, the digital signal processor (DSP) was employed to develop above intelligent controllers to control the active suspension system. The SOFC and the FCRBFN have better control performance in promoting the ride comfort and enhancing the road-holding capability when the vehicle is traveling on the rough roadway than does the TFC used or the passive suspension control.