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本文提出的模型跟随自适应控制的新方法,突破了现有算法实用上的限制,而具有如下特点。(1)通过使模型完全跟随条件与参考模型和被控过程无关,从而保证在被控过程参数未知且非线性、时变时,其输出也能渐近参考模型的输出。(2)即使实际过程的状态变量不可量测,也不用进行在线辨识。这些特点已有仿真和实验所验证。本文同时给出了新方法的算法实现。
The model proposed in this paper follows the new method of adaptive control, which breaks through the practical limitations of the existing algorithms and has the following features. (1) By making the model completely follow the condition, it has nothing to do with the reference model and the controlled process, so that the output of the model can be asymptotic reference output when the controlled process parameters are unknown and nonlinear and time-varying. (2) Online identification is not required even if the actual state variables are not measurable. These features have been simulated and experimentally verified. This article also gives the algorithm implementation of the new method.