Adaptive PID Fault Tolerant Controllers for Unknown Nonlinear MIMO Systems

• Main Authors: Yen-Chou Lin, 林彥州
• Other Authors: Jason S. H. Tsai
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/36932397027253862139

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 94 === Based on the evolutionary programming (EP) combined with the steepest descent method and the linear programming (LP) combined with the steepest descent method respectively, two adaptive multivariable PID fault tolerant controller schemes for the unknown nonlinear multi-input multi-output (MIMO) systems are proposed in this thesis. In the case of nonlinear dynamic system, and for monotonic nonlinearity, a neural network adapted with the extended Kalman filter is created to estimate the most accurate equivalent system model online, then the EP or LP is used for on-line tuning the well-performed PID fault tolerant controller after using the steepest descent method to find an optimal control.