학술논문

Driving force allocation strategy of multi-cylinder hydraulic press machine considering operation phases
Document Type
Conference
Source
2020 Chinese Automation Congress (CAC) Automation Congress (CAC), 2020 Chinese. :657-662 Nov, 2020
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Hydraulic systems
Force
Mathematical model
Optimization
Resource management
Presses
Oils
multi-cylinder hydraulic press machine
optimization controller
matrix singular value decomposition
operation phases
control allocation
optimization goal
Language
ISSN
2688-0938
Abstract
In order to improve the control accuracy of the multi-cylinder hydraulic press machine (MCHPM), a mathematical model considering the characteristics of MCHPM is established in this paper. A design method of MCHPM optimization controller considering the characteristics of different operation phases is proposed. This method separates the optimization controller design into three steps: the design of high-level motion controller, the design of control allocation based on optimization and the design of actuators control laws. For achieving the control goal, the highlevel motion controller uses the way of the matrix singular value decomposition and the sliding mode control method to obtain the vector of virtual. Then, in the light of the different operation phases of the MCHPM, different optimization goals are designed. The vector of virtual is used to calculate the expected driving force of each hydraulic cylinder by control allocation theory. Finally, the expected driving force is used as the expected value to get actuators control laws. Compared with the simulation results without considering different operation phases, it shows that the optimization controller can achieve better position tracking and leveling of the slider under the variable load force at different positions and angles. It can also greatly reduce the allocation errors.