作者
M Francisco, P Vega
发表日期
2010/7
期刊
Latin American applied research
卷号
40
期号
3
页码范围
255-265
出版商
Universidad Nacional del Sur
简介
In this work a general procedure for tuning multivariable model predictive controllers (MPC) with constraints is presented. Control system parameters are obtained by solving a multiobjective optimization problem. The set of objectives includes controllability aspects, in terms of the H∞ norms of some closed loop transfer functions of the system, and others related to the range of manipulated and controlled variables, expressed using the l 1 norm. Moreover, the use of multiple linearized models for tuning, allows for the specification of robust performance criteria through a set of constraints. The mathematical optimization for tuning all controller parameters is tackled in two iterative steps. First, integer parameters are obtained using a specific random search, and secondly a sequential programming based method is used to tune the real parameters. As a validation example, the tuning of the control system for the activated sludge process of a wastewater treatment plant has been selected.
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M Francisco, P Vega - Latin American applied research, 2010