期刊:
Advances in Modelling and Analysis C,2003年58(3-4):59-66 ISSN:1240-4535
通讯作者:
Sun, J.
作者机构:
[Sun, Jitao; Zhang, Yinping] Dept. of Appl. Math., Tongji University, Shanghai, 200092, China;[Deng, Feiqi; Liu, Yongqing] Dept. of Auto., South China University, Guangzhou, 510640, China
通讯机构:
[Sun, J.] D;Dept. of Appl. Math., Tongji University, China
关键词:
Absolute stability;Lurie type control system;Time delay;Uncertainty
摘要:
This paper studies the robust absolute stability of uncertain Lurie control systems. The Lyapunov function method and Riccati equation method are used to study the robust absolute stability of uncertain Lurie type control systems with time delay. Some sufficient conditions of robust absolute stability are obtained for the uncertain Lurie type control systems with time delay as follows ẋ(t) = (A + ΔA)x(t) + (B + ΔB)x(t - τ) + (b + Δb)f(δ), δ = CT x and ẋ(t) = (A + ΔA)x(t) + (B + ΔB)x(t - τ) + (b + Δb)f(δ), δ̇ = CT x - ρf(δ) The numerical examples illustrate the effectiveness of the proposed results.
关键词:
Configuration;Control scheme;DCS;Technological process of solution complete circling urea production
摘要:
The characteristics and its configuration of a distributed control system-SUPCON JX-300DCS are introduced. Its application in solution complete circling urea production, including technological process and design of DCS control scheme is presented.
关键词:
mill load control;fuzzy logic;self-learning fuzzy control
摘要:
This paper considers the problem of controlling the mill load for grinding plant The load state is essential to the powder production and quality of the mill. However, mill load fluctuates because of many parameters associated with the material filling-rate, the size distribution of material to be grinded, the coarse grains re-feeding amount, and material hardness. Additionally, The grinding process complex dynamics, nonlinearity, and uncertainty render traditional control techniques difficult to apply. Here, a fuzzy controller with real-time self-learning ability is employed to improve both the system performances and the adaptability. The control approach is implemented on a new type of ultra-fine grinding plant. The experimental results show that this control strategy maintained mill load stable and the demanded grain fineness distribution of product is obtained.