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Finite-Dimensional Digital Design of Continuous-Time Model-Reference Adaptive Control Systems for Distiributed-Parameter Systems

分布式参数系统连续时间模型参考自适应控制系统的有限维数字设计

基本信息

批准号：
05650422
负责人：
NAKANO Kazushi
金额：
$ 0.96万
依托单位：
Fukuoka Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

项目摘要

[1] Adaptive Control and Robust Control of Distributed-Parameter Systems(a) A practical design method of Model-Refrence Adaptive Control Systems (MRACS) for a diffusion system is presented using a finite-dimensional adaptive observer. The eventually asymptotical stability of the MRACS is guaranteed with consideration of the spillover.(b) A vibration control of a thin flexible beem system with a movable terminal is considered. A design technique of H-inf control systems is presented in the basis of the derived mathematical model. The control strategy is compared with LQG/LTR control.[2] Exact Model Matching Control and Robust Control for Nonlinear Systems(a) An inverted pendulum system is treated as a class of nonlinear mechanical systems. A new exact model matching control which is applicable to nonlinear mechanical systems, is presented.(b) A fuzzy sliding mode control is proposed for control of an inverted pendulum system. The stability of the control system is investigated.[3] Identification of Continuous-and Discrete-Time Systems(a) An identification technique based on the Gauss Newton-type with extremum searching is presented and applied to a rotary cultivator.(b) Linear Integral filter (LIF) method and Dynamic Simulator (DS) method are applied to the problem of identifying parameters of an inverted pendulum system.(c) The edge-adaptive identification with multiple forgetting factors and the Kalman filter-type restoration are applied to real images, and their effectiveness is proven by some examples.

[1]分布参数系统的自适应控制与鲁棒控制（a）利用有限维自适应观测器，提出了扩散系统的模型参考自适应控制系统（MRACS）的实用设计方法。在考虑溢出的情况下，保证了MRACS的最终渐近稳定性。(b)研究了具有可动终端的薄柔性梁系统的振动控制问题。在导出的数学模型的基础上，提出了一种H-inf控制系统的设计方法。将该控制策略与LQG/LTR控制进行了比较。[2]非线性系统的精确模型匹配控制与鲁棒控制（a）将倒立摆系统视为一类非线性机械系统。提出了一种新的适用于非线性机械系统的精确模型匹配控制方法。(b)提出了一种模糊滑模控制方法用于倒立摆系统的控制。研究了控制系统的稳定性。[3]连续和离散系统的辨识（a）提出了一种基于高斯-牛顿型极值搜索的辨识方法，并将其应用于旋耕机系统。(b)将线性积分滤波器（LIF）法和动态模拟器（DS）法应用于倒立摆系统的参数辨识问题。(c)将多遗忘因子边缘自适应辨识和卡尔曼滤波型复原应用于真实的图像，并通过实例验证了其有效性。