【作者】 王翠红；

【导师】 黄天民；

【作者基本信息】 西南交通大学 ， 应用数学， 2005， 硕士

【摘要】 近年来,模糊控制成为智能控制的一个重要分支。模糊控制的优势在于它对于那些难以建立数学模型或根本不可能用解析模型描述的复杂工业过程具有很好的适应性和鲁棒性。出现于50年代的滑模控制是指当系统状态在达到滑模面后,会自动沿着滑动平面滑向控制目标,不受系统参数的摄动和外界干扰的影响。它的不足主要表现为系统运动状态在到达滑动面后,会在滑动平面附近产生高频抖振,同时使系统达到滑动运动的控制量也产生高频抖振。 本文对滑模控制进行了一些研究,将模糊控制与滑模控制结合,针对一类非线性不确定系统,基于模糊逻辑提出了一种新的自适应模糊滑模控制方法,在此方法中,控制器由两部分组成:模糊逼近控制器FAC和模糊滑模控制器FSMC。其中,FAC利用模糊逻辑系统全局逼近理想控制器,FSMC用于全局补偿系统的不确定性及消除外部的干扰的影响。这个闭环控制系统在Lyapunov意义下全局稳定且系统跟踪误差收敛于零的某一邻域内。最后通过仿真验证了本方法的有效性。更多还原

【Abstract】 In recent years, fuzzy control has become an important direction of intelligent control theory. The merit of fuzzy control is that it has very good adaptability and robustness for complicated factory process whose mathematical mode is built inconveniently or it is impossible to be built. The sliding mode which is brought in 50’g means that the state of the system can automatically slide to the target of control along the sliding plane and it is not affected by the change of the parameter and the outside disturbance when it is getting to the sliding plane. Its flaw is that.after the state of the system getting to the sliding plane, it can also produce high-frequency chattering .This paper makes some studies for sliding mode control and combines fuzzy controller and sliding mode controller. On the basis of the fuzzy logic, an adaptive fuzzy sliding mode control architecture is developed for a class of nonlinear dynamic systems. In the proceducc , the controller is composed of fuzzy approximate controller(FAC) and fuzzy sliding mode controller(FSMC). The FAC is used to approximate the optimal controller globally, and the FSMC is designed to compensate the uncertainties and to attenuate the external disturbances. Global asymptotic stability of the whole closed system is obtained in the Lyapunov Sense , with tracking errors convergencing to a neighborhood of zero. Simulation results demonstrate the effectiveness of the proposed algorithm.更多还原