非线性系统的自适应控制方法——动态模糊逻辑系统

Self-adapting Control Method of Nonlinear System-dynamic Fuzzy Logic System

传统的非线性控制方法存在一些弊端,如反馈线性化方法不适用于非最小项系统,存在干扰时无法保证系统鲁棒性;增益调度技术线性控制方法仅限于非线性系统稳定状态下,并且需要大量的计算。模糊逻辑控制将自适应控制方法的优点与模糊逻辑控制相结合,来控制非线性系统。研究通过实例验证动态模糊逻辑系统控制非线性系统的效果,分析仿真结果可得,动态模糊逻辑系统在处理复杂非线性系统时具有有效性。

There are many traditional linear control methods. Yet the traditional methods have some disadvantages. For example, feedback linearization method is not suitable for non-minimum system, and when there is interference, system robustness can＇t be ensured; the gain scheduling linear control method is only limited to the condition that the linear system is stable and requires large computation. Fuzzy logic system has the feature that can complement these disadvantages. The non-linear system will be controlled through the integration of the advantages of self-adapting control method and dynamic fuzzy logic control. Here the effect of dynamic fuzzy logic system＇s controlling of non-linear system will be verified in practical cases. There in the analysis of simulation result, the dynamic fuzzy logic system is effective in the the process of complex non-linear system.