控制理论与应用
控製理論與應用
공제이론여응용
CONTROL THEORY & APPLICATIONS
2014年
6期
735-740
,共6页
刘刚%秦伟伟%刘洁瑜%汪立新
劉剛%秦偉偉%劉潔瑜%汪立新
류강%진위위%류길유%왕립신
非线性模型预测控制%鲁棒一步集%区间算法%鲁棒不变集
非線性模型預測控製%魯棒一步集%區間算法%魯棒不變集
비선성모형예측공제%로봉일보집%구간산법%로봉불변집
nonlinear model predictive control%robust one step set%interval arithmetic%robust invariant set
针对一类具有输入和状态约束的干扰有界非线性系统,提出了基于区间分析的约束非线性鲁棒模型预测控制,以降低计算量并扩大系统吸引域。首先,在集合运算的基础上,利用区间运算和函数区间扩展,给出了一种计算效能更好、保守性更低的非线性系统鲁棒一步集计算方法;其次,构造重叠的多面体控制不变集序列并以此计算约束非线性系统的鲁棒多步集,并通过设计基于集合的在线优化策略,提出了基于鲁棒一步集的单步优化非线性模型预测控制,有效降低了非线性优化的在线计算量;最后,仿真实例验证了算法的有效性。
針對一類具有輸入和狀態約束的榦擾有界非線性繫統,提齣瞭基于區間分析的約束非線性魯棒模型預測控製,以降低計算量併擴大繫統吸引域。首先,在集閤運算的基礎上,利用區間運算和函數區間擴展,給齣瞭一種計算效能更好、保守性更低的非線性繫統魯棒一步集計算方法;其次,構造重疊的多麵體控製不變集序列併以此計算約束非線性繫統的魯棒多步集,併通過設計基于集閤的在線優化策略,提齣瞭基于魯棒一步集的單步優化非線性模型預測控製,有效降低瞭非線性優化的在線計算量;最後,倣真實例驗證瞭算法的有效性。
침대일류구유수입화상태약속적간우유계비선성계통,제출료기우구간분석적약속비선성로봉모형예측공제,이강저계산량병확대계통흡인역。수선,재집합운산적기출상,이용구간운산화함수구간확전,급출료일충계산효능경호、보수성경저적비선성계통로봉일보집계산방법;기차,구조중첩적다면체공제불변집서렬병이차계산약속비선성계통적로봉다보집,병통과설계기우집합적재선우화책략,제출료기우로봉일보집적단보우화비선성모형예측공제,유효강저료비선성우화적재선계산량;최후,방진실례험증료산법적유효성。
Based on the interval analysis, a robust nonlinear model predictive control (RNMPC) strategy with extended domain of attraction and reduced computation load is developed for a class of input-constrained and state-bounded uncertain nonlinear systems. Firstly, based on set theory, an effective and low conservatism algorithm for the robust one-step set of nonlinear systems is proposed with interval algorithm and interval extension of function in interval arithmetic. Secondly, an overlapped robust control-invariant set sequence around equilibrium points is calculated. And then, the robust multi-step sets of the robust control-invariant set sequence are calculated and used to design the robust nonlinear MPC based on one-step online optimization. By employing the one-step optimization, this algorithm extends the domain of attraction. Furthermore, the optimization function is simplex and the number of variable is reduced. Therefore, this algorithm reduces the on-line computation load of nonlinear optimization. Finally, numerical simulation results validate the proposed method.