模式识别与人工智能
模式識彆與人工智能
모식식별여인공지능
Moshi Shibie yu Rengong Zhineng
2014年
9期
808-814
,共7页
欠驱动系统%抖振%二阶滑模%超螺旋算法
欠驅動繫統%抖振%二階滑模%超螺鏇算法
흠구동계통%두진%이계활모%초라선산법
UnderactuatedSystem%Chattering%Second-OrderSlidingMode%Super-Twisting Algorithm
为实现一类不确定欠驱动系统在未知干扰情况下的鲁棒控制,针对传统滑模控制中存在的抖振问题,提出一种基于二次型Lyapunov函数的二阶Super-Twisting自适应滑模控制策略。首先,控制器的不连续项采用二阶Super-Twisting算法,将不连续控制作用在滑模量的二阶导数。然后,针对滑模面受不确定干扰影响的情况,为调节参数设计一种自适应律方法,该方法不受传统二阶滑模控制中干扰项的一阶导数边界已知的条件限制,保证滑模面在有干扰情况下的收敛,削弱控制器输入的抖振现象。最后,以两轮自平衡车为实验对象验证该方法,并与传统滑模及普通二阶滑模方法做仿真对比。仿真结果表明文中所提的二阶自适应滑模控制方法在控制效果和降低抖振方面表现更优。
為實現一類不確定欠驅動繫統在未知榦擾情況下的魯棒控製,針對傳統滑模控製中存在的抖振問題,提齣一種基于二次型Lyapunov函數的二階Super-Twisting自適應滑模控製策略。首先,控製器的不連續項採用二階Super-Twisting算法,將不連續控製作用在滑模量的二階導數。然後,針對滑模麵受不確定榦擾影響的情況,為調節參數設計一種自適應律方法,該方法不受傳統二階滑模控製中榦擾項的一階導數邊界已知的條件限製,保證滑模麵在有榦擾情況下的收斂,削弱控製器輸入的抖振現象。最後,以兩輪自平衡車為實驗對象驗證該方法,併與傳統滑模及普通二階滑模方法做倣真對比。倣真結果錶明文中所提的二階自適應滑模控製方法在控製效果和降低抖振方麵錶現更優。
위실현일류불학정흠구동계통재미지간우정황하적로봉공제,침대전통활모공제중존재적두진문제,제출일충기우이차형Lyapunov함수적이계Super-Twisting자괄응활모공제책략。수선,공제기적불련속항채용이계Super-Twisting산법,장불련속공제작용재활모량적이계도수。연후,침대활모면수불학정간우영향적정황,위조절삼수설계일충자괄응률방법,해방법불수전통이계활모공제중간우항적일계도수변계이지적조건한제,보증활모면재유간우정황하적수렴,삭약공제기수입적두진현상。최후,이량륜자평형차위실험대상험증해방법,병여전통활모급보통이계활모방법주방진대비。방진결과표명문중소제적이계자괄응활모공제방법재공제효과화강저두진방면표현경우。
To achieve good robustness against disturbances for a class of uncertain underactuated systems, a second-order adaptive sliding mode control method is proposed based on quadratic Lyapunov function to reduce the inherent chattering of conventional sliding mode control ( SMC ) . Firstly, a second-order super-twisting algorithm is used by the discontinuous part of controller, which acts on the second-order derivative of sliding mode variables. Secondly, as for the effects of unknown disturbances on sliding mode surface, an adaptive law is designed to adjust the parameters. This method eliminates the restriction of the first derivative of disturbances boundary being known in the traditional second-order sliding mode control, which not only keeps convergence of sliding mode surface but also reduces chattering. Finally, a two-wheeled self-balancing cart is used to test the proposed approach. The simulation results show that compared with conventional SMC and ordinary second-order SMC, the proposed method outperforms the above methods on effectiveness and reducing chattering.