ITM Web Conf.
Volume 47, 20222022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|Number of page(s)||8|
|Section||Algorithm Optimization and Application|
|Published online||23 June 2022|
Integrated optimization of batch production process scheduling based on USEBCTM and explicit model predictive control
1 School of Information and Control Engineering, Liaoning Shihua University, Fushun, China
2 The Fifth Oil Production Plant of Changqing Oilfield Branch, Xi’an, China
* Corresponding author: firstname.lastname@example.org
An integration model of batch process production scheduling and control is established by using synchronous method, which generates mixed integer dynamic (MIDO) problem. In order to solve the online computing burden of MIDO problem, explicit model predictive control (E-MPC) is applied to solve the online implementation of scheduling and control integration problem. Using the method based on USEBCTM to establish the scheduling level constraints, and used the MPT toolbox in MATLAB to solve the E-MPC dynamic problem. The explicit control solution was converted into the control level constraint, then with scheduling level constrain optimization objective together.
Key words: Batch process / Integration of scheduling and control / Specific unit time point / Explicit model predictive control / Mixed integer nonlinear programming
© The Authors, published by EDP Sciences, 2022
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