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Research And Application Of Explicit Model Predictive Control

Posted on:2010-12-18Degree:MasterType:Thesis
Country:ChinaCandidate:S H WangFull Text:PDF
GTID:2178360272978922Subject:Detection Technology and Automation
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Model predictive control(MPC) was used widely in the field of processes industry and gained many good social and economic benefits.But it is not suitable for high-frequency sampling or real-time systems(eg.automotive,spacecraft and so on) because of solving repetitively a computationally demanding on-line optimization.Explicit model predictive control(eMPC) overcomes the shortcoming of the model predictive control(MPC).Explicit solutions to constrained linear MPC problems can be computed by solving multi-parametric quadratic programs(mpQP),where the parameters are the components of the state vector.The solution to the mpQP is a piecewise affine(PWA) function,which can be evaluated at each sample to obtain the optimal control law.The on-line computation effort is only restricted to a table-lookup.The technique proposed in this paper is attractive for a wide range of practical problems where the computational complexity of on-line optimization is prohibitive.We can implement on the simplest,low-cost hardware,such as System On a Chip(SOC) etc.In this paper,the theory and application of eMPC was researched.The concrete content is as follows:1.Based on studied of a great deal of related literature,the research progress and general situation of the eMPC was summarized.2.The basic principles of eMPC was studied deeply.Based on the example of simulation, computed the eMPC through off-line(that is computed the state partitions and the piecewise affine control law through off-line) and closed-loop simulated online.The simulation results made the theory more clearly and gained a good control performance.3.Based on the piecewise affine(PWA) model,we analyzed the stability of the system by computing the Quadratic Lyapunov function and Piece Wise Quadratic Lyapunov function.The simulations showed that the stability analysis method is effective. 4.The technology of eMPC was applied to controlling the vehicle suspension system and 4WS(four wheel steering) and controlled the vertical acceleration,suspension deflection and side slip angle by simulations.It showed that the acceleration of the body was reduced and the vehicle handling and stability was improved by analyzing the simulation results.So the comfort property of vehicle and the vehicle handling and stability is much better.
Keywords/Search Tags:explicit model predictive control (eMPC), multi-parametric quadratic programs (mpQP), piece wise affine (PWA), Suspension System
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