Coordination of Distributed Model Predictive Controllers for Constrained Dynamic Processes ?
نویسندگان
چکیده
In this paper, a coordinated-distributed model predictive control (MPC) scheme is presented for large-scale discrete-time linear process systems. Coordinated-distributed MPC control aims at enhancing the performance of fully decentralized MPC controllers by achieving the plant-wide optimal operations. The ‘price-driven’ decomposition-coordination method is used to adjust the operations of the individual processing units in order to satisfy an overall plant performance objective. Newton’s method, together with a sensitivity analysis technique, are used to efficiently update the price in the price-driven decomposition-coordination method. The efficiency of the proposed control scheme is evaluated using a model of a fluid catalytic cracking process.
منابع مشابه
The Implementation of the Distributed Model Predictive Controllers based on Orthonormal Functions for Supply Chains with Long Delays in Logistics Processes
Today, companies need to make use of appropriate patterns such as supply chain management system to gain and preserve a position in competitive world-wide market. Supply chain is a large scaled network consists of suppliers, manufacturers, warehouses, retailers and final customers which are in coordination with each other in order to transform products from raw materials into finished goods wit...
متن کاملConstrained Controller Design for Real-time Delay Recovery in Metro Systems
This study is concerned with the real-time delay recovery problem in metro loop lines. Metro is the backbone of public transportation system in large cities. A discrete event model for traffic system of metro loop lines is derived and presented. Two effective automatic controllers, linear quadratic regulator (LQR) and model predictive controller (MPC), are used to recover train delays. A newly-...
متن کاملModel Predictive Control for Coordination of Vehicle Platoons
This paper describes the application of model predictive controllers for decentralized control and coordination of autonomous vehicle platoons. Information about the road trajectory and surrounding vehicles are used to solve a constrained nonlinear optimization problem to plan the system behavior over a finite horizon. System actuation restrictions are taken into consideration in the controller...
متن کاملDecentralized Advanced Model Predictive Controller of Fluidized-Bed for Polymerization Process
The control of fluidized-bed operations processes is still one of the major areas of research due to the complexity of the process and the inherent nonlinearity and varying dynamics involved in its operation. There are varieties of problems in chemical engineering that can be formulated as NonLinear Programming (NLPs). The quality of the developed solution significantly affects the performa...
متن کاملAdaptive Predictive Controllers Using a Growing and Pruning RBF Neural Network
An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...
متن کامل