Explicit model predictive control for largescale systems. Recent advances in mpc have led to its implementation in faster, largescale. A partial enumeration strategy for fast largescale linear model predictive control. Model predictive control tools for evolutionary plants springerlink. Fast model predictive control combining offline method and. Nonlinear modeling, estimation and predictive control in. Adaptive and learning predictive control advanced vehicle dynamic control analog optimization large scale distributed predictive control. Computation time is the main factor that limits the application of model predictive control mpc. The fast model predictive control formulation is based on highly efficient. Controlling largescale systems with distributed model predictive control james b. Fast and largescale model predictive control using neural networkspratyush kumar, james b.
Controlling largescale systems with distributed model. Riskaverse model predictive control mpc offers a control framework that allows one to account for ambiguity in the knowledge of the underlying probability. We first develop a technique to decompose the largescale scenario program into distributed scenario programs that exchange a certain. In chemical process control 7, lake louise, alberta, canada, january 2006. A partial enumeration strategy for fast largescale. Pe uses both a table storage method and online optimization to achieve this goal. Efficient model predictive control for largescale urban traffic networks. Predictive modeling of largescale integrated refinery. Some description of this toolbox is given in appendix c of the book, but there is also a complete tutorial available. Fast model predictive control method for largescale structural. A decentralized model predictive controller applicable for some systems which exhibit different dynamic characteristics in different channels was presented in this paper. Lecture 12 model predictive control prediction model control optimization receding horizon update disturbance estimator feedback imc representation of mpc resource.
We deal with linear, nonlinear and hybrid systems in both small scale. Fast mpc model predictive control this repository contains matlab interface to convert a standard model predictive control to fast model predictive control based on the paper fast model predictive control using online optimization. A novel fast model predictive control with actuator saturation for largescale structures is proposed. A linear model predictive control lmpc strategy is developed for largescale gas pipeline networks. Continuous catalyst regeneration ccr reforming process. The fast mpc class solves using a custom built infeasible start newton solver explointing the structure of mpc. Online mpc can be applied to all problem dimensions this talk. The information to be stored for looking up the optimal solution grows exponentially in the dimension of the process model and the. Model predictive control mathematical software swmath. Use powerful modelbuilding, evaluation, and automation capabilities. We propose computational techniques for model predictive control of largescale systems with both continuousvalued control inputs and discretevalued control inputs, which are a class of hybrid. Algorithms and methods for fast model predictive control.
A novel fast model predictive control with actuator. Dynamic modeling and linear model predictive control of. Computational techniques for model predictive control of. Explicit model predictive control for largescale systems via model. Model predictive control toolbox software supports two builtin algorithms for solving the qp problem. For linear models, the online problem is a quadratic program qp, and efficient qp solvers allowed practitioners to tackle processes with small to. Explicit expressionbased practical model predictive. Fast, largescale model predictive control by partial enumeration.
In particular, this software layer implements an mpc plant coordinator taking full. The optimal control can be achieved by one linear complementarity problem and one transient analysis. A fast and accurate model predictive control method is presented for dynamic systems representing largescale structures. Distributed stochastic model predictive control for largescale. The explicit structure of the mpc saturation controller is obtained. To protect the engineering structures from natural hazards, especially for largescale structures, a novel fast model predictive control nfmpc method is presented in this paper. Fast, largescale model predictive control by partial enumeration article in automatica 435. Realtime online mpc for highspeed largescale systems fast online optimization satisfaction of realtime constraint. Patrinos, panagiotis and sarimveis, haralambos and sopasakis, pantelis a global piecewise smooth newton method for fast largescale model predictive control. Another way to handle the control of large scale complex systems is to. Introduction unmanned aerial vehicles uavs have emerged over. Nonlinear modeling, estimation and predictive control in apmonitor john d.
Pdf model predictive control for largescale thermo. Both solvers require the hessian to be positive definite. Distributed model predictive control and estimation of largescale multirate systems. Pdf a novel fast model predictive control for large. A nonlinear dynamic model of a representative pipeline is derived from mass balances and the virial equation of state. Fast model predictive control using online optimization. This paper presents a fast model predictive control algorithm that combines offline method and online.
We develop in the second part of this thesis a fast algorithm for solving scenariobased model predictive control mpc arising in multiperiod portfolio optimization problems ef. Recent advances in quadratic programming algorithms for. Explicit mpc based on explicit solutions of a quadratic program qp is one. This paper presents a fast model predictive control algorithm that combines offline method and. Realtime online mpc for highspeed largescale systems. Distributed model predictive control and estimation of. A well known technique for implementing fast mpc is to compute the entire control. A partial enumeration strategy for fast largescale linear model.
Fast model predictive control using online optimization stanford. Fast model predictive control using online optimization, ieee transactions on control systems technology, vol. Fast explicit mpc building control systems subpages 7. Rawlings department of chemical and biological engineering november 8, 2010 annual aiche meeting salt. Predictive analytics software mines data from a wide range of databases and prepares it. Hierarchical and hybrid model predictive control of.
After chapter 1, the model predictive control toolbox is needed or comparable software. Computationally challenged mpc is an optimizationintheloop control law. Department of chemical engineering, university of california santa barbaramodel. Partial enumeration pe is presented as a method for treating large, linear model predictive control applications that are out of reach with available mpc methods. A twotime scale decentralized model predictive controller. Fast, largescale model predictive control by partial. A novel fast model predictive control for largescale. Some of the toolbox functions have been modified slightly to enhance the functionality, as described in appendix c. Department of chemical engineering, university of california santa barbaramodel predictive control mpc is a feedback control technology that uses a dynamic model of the plant to forecast the internal plant states. A global piecewise smooth newton method for fast large. Mpc model predictive control also known as dmc dynamical matrix control. Large scale systems research laboratory, department of chemical engineering, university of illinois at urbanachampaign, 600 south mathews avenue, box c3, urbana, il 6180792, usa abstract model. Because the fullorder model is illconditioned, reducedorder models are constructed using timescale decomposition arguments. Our research lab focuses on the theoretical and realtime implementation aspects of constrained predictive modelbased control.
773 1002 199 1105 460 441 1496 605 1372 1199 756 1353 664 899 552 452 1502 968 922 287 484 241 1235 945 130 1000 1407 1382 221 1188 1194 1078 1245 1298 1111 1051 1139 331 488 1122 1356 454 1177