A PSO-based optimal tuning strategy for constrained multivariable predictive controllers with model uncertainty

作者：Nery Junior Gesner A; Martins Marcio A F^*; Kalid Ricardo

来源：ISA Transactions, 2014, 53(2): 560-567.

DOI：10.1016/j.isatra.2013.12.019

• Optimal tuning
• Model predictive control
• Particle swarm optimization
• Robust control

This paper describes the development of a method to optimally tune constrained MPC algorithms with model uncertainty. The proposed method is formulated by using the worst-case control scenario, which is characterized by the Monad resiliency index and the condition number, and a given nonlinear multi-objective performance criterion. The resulting constrained mixed-integer nonlinear optimization problem is solved on the basis of a modified version of the particle swarm optimization technique, because of its effectiveness in dealing with this kind of problem. The performance of this PSO-based tuning method is evaluated through its application to the well-known Shell heavy oil fractionator process.

• 出版日期2014-3