This study deals with two control theories, forecasting control based on a time series analysis and discrete optimal output feedback control, applied to suppress the vibration of a cantilever by using a servo-damper controller.
Preliminary experiments are carried out to determine the proper stochastic model for the system, where the noise to the servo-damper is the input and the vibration of the cantilever at its free end is the output. The best model is determined to be Bivariate ARV($\binom{4}{3}$) in consideration of the stability and effectiveness of the controller model.
With the model determined, control schemes are derived for both forecasting and discrete optimal controls. To evaluate the performances of the two control schemes, experimental and simulation studies are performed.
It is then found that forecasting control is better than discrete optimal control except for the noise sensitivity. The inherent noise sensitivity of forecasting control is examined and a remedy is suggested.
서어보 감쇠계가 장치된 외팔보의 진동을 억제하기 위하여 시계열 분석을 기초로한 예측제어 이론과 이산 최적 제어 이론이 적용되었다.
계의 모형화에는 시계열 방법이 적용되었으며, 제어계의 안정화와 제어 효과를 고려하여 결정된 모형은 Bivariate ARV($\binom{4}{3}$) 모형이었다.
이 모형을 기초로 Computer Simulation 과 실험이 수행되었으며 그 결과로 잡음에 대한 민감도를 제외하면 예측 제어가 이산 최적제어보다 훨씬 우수함을 알수 있었다.
