Title :
Feedback linearization optimal disturbances rejection approach of bilinear systems
Author :
Gao De-xin ; Yang Xiao-Yan ; Cui Bao-tong
Author_Institution :
Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China
Abstract :
This paper considers the optimal control problem for the bilinear system affected by measurable disturbances based on state feedback linearization. Firstly, the model of the bilinear system affected by the disturbances is changed to an affine nonlinear system affected by disturbances. Secondly, according to the concept of relative order of the output with respect to the input, we change a nonlinear system to a pseudo linear system model through the coordinate transformation, Then based on the theory of linear quadratic optimal control, the optimal controller is designed. By solving the Riccati equation and the Sylvester equation, a feedforward/feedback transformation is designed which is used to eliminate the influence of the disturbances. At last, the simulation results show the effectiveness of the method.
Keywords :
Riccati equations; bilinear systems; control system synthesis; feedforward; linear quadratic control; nonlinear control systems; state feedback; Riccati equation; Sylvester equation; affine nonlinear system; bilinear system; coordinate transformation; feedback transformation; feedforward transformation; linear quadratic optimal control; optimal control problem; optimal controller design; optimal disturbances rejection approach; pseudo linear system model; state feedback linearization; Approximation methods; Biological system modeling; Equations; Linear systems; Mathematical model; Nonlinear systems; Optimal control; Bilinear system; Disturbance Rejection; Feedback linearization; Optimal Control;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768