Abstract:A novel subspace predictive control algorithm based on subspace identification is discussec to solve the actuator saturation limitations in a range of active vibration and noise control problems. This algorithm not only combines the system identification and control design, but also gives the future predictive values directly based in the input-output datas. This combination enables antomatically tuning the parameters and avoids the systen identification procedure in tradictional model predictive control. Meanwhile the subspace predictive permits limitations on allowable actuator saturation. When considered the constrain condictions caused by saturation, we convert the constrain optimization problem to un constrain optimization problem using the linear matrix inequality technology. Then an ellipsoid optimization algorithm is proposed to generate a sequence of ellipsoids with decreasing volume. An upper bound on the maximum number of possible iteration steps is derived. This upper bound can not be obtained in all the intelligent algorithms. Finally as an example of hellicopter flutter in hover mode, we design the closed loop feedback controller using the subspace predictive control and elliposid optimization algorithm which are proposd in this paper. From the simulation, we can see that the output responses of the close system can track the desired output values well. Then this method’s efficiency is proved.
王建宏;王道波. 子空间预测控制算法在主动噪声振动中的应用[J]. , 2011, 30(10): 129-135.
WANG Jian-hong;WANG Dao-bo . Subspace predictive control applied to active noise and vibration control. , 2011, 30(10): 129-135.