A Generalized Linear Quadratic Digital Tracker for the Non-Square Non-Minimum/Minimum Phase Discrete-Time Systems with the Known/Unknown Disturbance and Noise

摘要

In this thesis a generalized linear quadratic digital tracker (LQDT) for the more general discrete-time system which has a direct-feedthrough term and the known system disturbances has been presented and it will be applied in some control problems to achieve design goals In order to deal with the non-square non-minimum phase discrete-time system we blend the classical control methodology and the generalized LQDT design such that the non-square non-minimum phase discrete-time system has a desired minimum-phase-like tracking performance for a given arbitrary reference trajectory with drastic variations In addition we construct a state and disturbance estimator using discrete-time proportional plus integral observer to estimate both the system state and the unknown external disturbance for the discrete-time systems with an unknown external disturbance Then by applying the generalized LQDT design design a proportional plus integral observer-based LQDT with a high-gain property to have a desired tracking performance A new iterative learning LQDT with input constraint for the discrete-time repetitive system with a direct-feedthrough term unknown process disturbance and unknown measurement noise has been presented By the initialization of the proposed iterative learning control (ILC) it can converge in one epoch for a desired tracking performance Besides we also present a simple and effective method to deal with the more general discrete-time system which has a direct-feedthrough term unknown process disturbance and unknown measurement noise

獎項日期	2015 7月 15
原文	English
監督員	Jason Sheng-Hon Tsai (Supervisor)