Supervised Nonlinear Control of Hybrid System, with Application to HVAC System

• Main Authors: Chan, Yu-Ming, 詹于民
• Other Authors: Fu, Li-Chen
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/77400433588437947165

碩士 === 國立臺灣大學 === 電機工程學研究所 === 91 === By the advancement of computer communication network and industrial electronics, it is not surprising that the hybrid system era has already been coming. A hybrid system is a complex man-made system, which is difficult to be controlled due to the integration of two different systems, Discrete Event System (DES) and Continuous Variable Dynamic System (CVDS). From now on, there is no uniform method for the hybrid system controller design and most of the hybrid system control paradigms rely on human experiences, instead. In this thesis, we have proposed a systematic approach for the hybrid system controller designs. It begins with the automaton model building, where we analysis the logical level behaviors and the corresponding supervisory controller design pro-cedures. In addition, we adopt Lyapunov stability theory to verify the stability of the designed nonlinear servo controller under the consideration of discrete event effects. We integrate DES and CVDS theories, while taking both sizes of operation logics as well as the system performance into account, to propose a novel approach for the hy-brid system controller design. In order to verify the performance of the proposed con-trollers, we perform a number of computer simulations of a real-world HVAC hybrid system.