作者: Hyoun-Surk Roh , Youngjin Park
DOI: 10.1007/BF02945545
关键词: Performance improvement 、 Full state feedback 、 Observer (quantum physics) 、 Wheelbase 、 Active suspension 、 Filter (signal processing) 、 Control theory 、 Control engineering 、 Linear-quadratic-Gaussian control 、 Engineering 、 Control theory
摘要: Optimal observer-based wheelbase preview regulator problem is investigated for active vehicle suspension systems. It shown that the reduces to classical linear quadratic Gaussian problem, whose solution well defined, by augmenting dynamics of system and road inputs. The resulting optimal controller in form augmented state feedback this estimated Kalman-Bucy filter using system. Numerical examples a half car model are given verify performance improvement achievable with proposed controller.