Title :
Predictive function optimization control strategy of hydraulic servo system
Author :
Zhang Jiayan ; Feng Xugang ; Xiong Shaokang ; Wu Qiling
Author_Institution :
Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol., Ma´anshan, China
Abstract :
Hydraulic control has been widely applied in the economic and civil construction, mechanical processing and metal casting process such as mechanical field for the advantages of high response speed and control precision, and on-line vibration parameters adjustment. This work studies the mathematical model of the hydraulic vibration servo control system, and analyzes the non-linear, time-varying and model structure uncertainty features of the objects. To meet the requirement that control system has to track trajectory in a fast and accurate way, this paper proposes an advanced control strategy based on predictive function control (PFC). The simulation results in this work show that our proposed method is effective, and therefore improve the tracking speed, accuracy and robustness.
Keywords :
hydraulic control equipment; nonlinear control systems; position control; predictive control; time-varying systems; uncertain systems; vibration control; PFC; civil construction; control precision; economic construction; hydraulic vibration servo control system; mathematical model; mechanical field; mechanical processing; metal casting process; model structure uncertainty features; nonlinear features; online vibration parameters adjustment; predictive function optimization control strategy; time-varying features; tracking accuracy; tracking robustness; tracking speed; Mathematical model; Predictive models; Process control; Servomotors; Trajectory; Vibrations; Hydraulic vibration; Position tracking; Predictive Functional Control; Servo vibration system;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896294