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METHODS AND SYSTEMS FOR THE DESIGN AND IMPLEMENTATION OF OPTIMAL MULTIVARIABLE MODEL PREDICTIVE CONTROLLERS FOR FAST-SAMPLING CONSTRAINED DYNAMIC SYSTEMS
METHODS AND SYSTEMS FOR THE DESIGN AND IMPLEMENTATION OF OPTIMAL MULTIVARIABLE MODEL PREDICTIVE CONTROLLERS FOR FAST-SAMPLING CONSTRAINED DYNAMIC SYSTEMS
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机译:快速采样约束动态系统最优多变量模型预测控制器的设计与实现的方法和系统
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摘要
Methods and systems for the design and implementation of optimal multivariable MPC controllers for fast-sampling constrained dynamic systems utilizing a primal-dual feasibility approach and/or a graph approach. The primal-dual feasibility approach can compute and store matrices defining constraints of quadratic programming problems in an off-line part in order to calculate vectors of Lagrange multipliers and an optimizer. Then primal-dual feasibility can be checked in an on-line part using the Lagrange multipliers and the optimizer can provide a unique optimal solution for the constrained dynamic system. The graph approach can compute and store the matrices and the vectors, and also prepare and store a structure of directed graph in off-line part. An optimizer for a given parameter vector can be determined in on-line part using the directed graph, the matrices and the vectors.
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