Hybrid explicit model predictive control of a nonlinear process approximated with a piecewise affine model

被引:20
作者
Pregelj, Bostjan [1 ]
Gerksic, Samo [1 ]
机构
[1] Jozef Stefan Inst, Ljubljana, Slovenia
关键词
Predictive control; Model-based control; Hybrid systems; Nonlinear control; Tracking; Pressure control; Tuning regulators; CONSTRAINED OPTIMAL-CONTROL; SYSTEMS; PERFORMANCE; ALGORITHM; STABILITY; LOGIC;
D O I
10.1016/j.jprocont.2010.05.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The recently developed methods of explicit (multi-parametric) model predictive control (e-MPC) for hybrid systems provide an interesting opportunity for solving a class of nonlinear control problems. With this approach, the nonlinear process is approximated by a piecewise affine (PWA) hybrid model containing a set of local linear dynamics. Compared to linear-model-based MPC, a performance improvement is expected with the reduction of the plant-to-model mismatch; however at a cost of controller computation complexity. In order to reduce the computational load, so that desired horizon lengths may be used, we present an efficient sub-optimal solution. The feasibility of the approach for the application was evaluated in an experimental case study, where an output feedback, offset-free-tracking hybrid e-MPC controller was considered as a replacement for a PID-controller-based scheme for the control of the pressure in a wire-annealing machine. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:832 / 839
页数:8
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