Adaptive Control of Systems with Unknown Dead-zones
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摘要: 利用不灵敏区逆函数技术提出了能够改善不灵敏区非线性因素对系统影响的鲁棒模型参考自适应控制.基于自适应控制模型匹配方程推导了闭环系统误差方程,分析了标称化参数估计误差.仿真研究了控制算法在导弹自动驾驶仪中的应用.Abstract: Dead-zone nonlinear characteristics are encountered in many physical components of control systems. They are usually unknown and may vary with time. A robust model reference adaptive controller with an adaptive inverse of dead-zone is developed. Based on the parameter match equation of adaptive control, the tracking error of closed loop system and normalized parameter estimate error is given. It is proved that all of the signals in the closed loop are bounded. A missile automatic pilot with the presented adaptive control scheme is simulated. Simulations show the perfect tracking performance of closed loop system.
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Key words:
- non-linear systems /
- adaptive control /
- parameter estimations /
- dead-zone
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1. Tao G,Kokotovic P V. Adaptive control of plants with unknown deadzones. IEEE Transactions on Automatic Control, 1994,39(1):59~68 2. Tao G,Kokotovic P V.Discrete time adaptive control of systems with unknown deadzones. Int J Control, 1995,62(1):1~17 3. Daffa Aniruddha, Ho Mingtzu. On modifying model reference adaptive control schemes for performance improvement. IEEE Transactions on Automatic Control, 1994,39(9):1977~1994 4. Naik Sanjeev M,Kwmar P R,Ydstie Erik B. Robust continuous time adaptive control by parameter projection. IEEE Transactions on Automatic Control,1992,37(2):182~197 -
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