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陈虹, Chen Hong, Zhao Guijun, Sun Pengyuan & Guo Konghui
汽车工程,2003,25(1):1~6,-0001,():
-1年11月30日
以2自由度1/4车模型为例在鲁棒控制理论的统一框架下讨论H2和H∞主动悬架的设计,并采用结构奇异值法和加权最坏RMS增益法对其鲁棒性能进行分析和比较。
主动悬架,, H2和H∞控制,, 频率加权,, 鲁棒性能
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陈虹, CHEN Hong, LIU Zhi-Yuan
自动化学报,2002,28(2):296~300,-0001,():
-1年11月30日
融合H∞控制的鲁棒概念和预测控制的滚动优化原理,提出了一种全新的约束动态对策预测控制方法。对有状态和控制约束的不确定线性系统,证明了闭环系统的鲁棒稳定性并给出了鲁棒性条件。该方法同时具有H∞控制和预测控制的优点:鲁棒性和显式处理约束的能力。
预测控制,, H∞控制,, 约束系统,, 鲁棒稳定性
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【期刊论文】Application of Constrained H∞ Control to Active Suspension Systems on Half-Car Models
陈虹, H. Chen, Z.-Y. Liu, P.-Y. Sun
SEPTEMBER 2005, Vol. 127,-0001,():
-1年11月30日
This paper formulates the active suspension control problem as disturbance attenuation problem with output and control constraints. The H∞ performance is used to measure ride comfort such that more general road disturbances can be considered, while timedomain hard constraints are captured using the concept of reachable sets and state-space ellipsoids. Hence, conflicting requirements are specified separately and handled in a nature way. In the framework of Linear Matrix Inequality (LMI) optimization, constrained H∞ active suspensions are designed on half-car models with and without considering actuator dynamics. Analysis and simulation results show a promising improvement on ride comfort, while keeping suspension strokes and control inputs within bounds and ensuring a firm contact of wheels to road.
Active Suspensions,, Time-Domain Constraints,, LMI Optimization,, Actuator Dynamics
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【期刊论文】NONLINEAR MODEL PREDICTIVE CONTROL SCHEMES WITH GUARANTEED STABILITY
陈虹, H. CHEN*, F. ALLGOWER
R. Berber and C. Kravaris (eds.), Nonlinear Model Based Process Control, 465-494,-0001,():
-1年11月30日
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陈虹, H. Chen*, †, and F. Allgower‡§
J. Proc. Cont. Vol. 8, Nos. 5-6, pp. 475-485, 1998,-0001,():
-1年11月30日
We introduce in this paper a nonlinear model predictive control scheme for open-loop stable systems subject to input and state constraints. Closed-loop stability is guaranteed by an appropriate choice of the finite prediction horizon, independent of the specification of the desired control performance. In addition, this control scheme is likely to allow 'real time' implementation, because of its computational attractiveness. The theoretical results are demonstrated and discussed with a CSTR control application.
nonlinear predictive control, constraints, stability, terminal conditions
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