Model predictive control for non-linear missiles
نویسندگان
چکیده
منابع مشابه
Explicit non-linear model predictive control for autonomous helicopters
Trajectory tracking is a basic function required for autonomous helicopters, but it also poses chanlleges to controller design due to the complexity of helicopter dynamics. This paper introduces a closed-form model predictive control (MPC) to solve this problem, which inherents the advantages of the nonlinear MPC but eliminates the time-consuming online optimisation. The explicit solution to th...
متن کاملNeural Network Model Predictive Control of Non- Linear Biopolymerization Process
This paper focuses on the developing a mechanistic model of the biopolymerization process and linking with the feedforward neural network model to obtain a hybrid model of lipase-catalyzed ring-opening polymerization of ε-caprolactone (ε-CL) for Poly (ε-caprolactone) PCL production using feed forward neural networks and control using model predictive control. Model predictive control (MPC) has ...
متن کاملNon-Linear Model Predictive Control with Adaptive Time-Mesh Refinement
In this paper, we present a novel solution for realtime, Non-Linear Model Predictive Control (NMPC) exploiting a time-mesh refinement strategy. The proposed controller formulates the Optimal Control Problem (OCP) in terms of flat outputs over an adaptive lattice. In common approximated OCP solutions, the number of discretization points composing the lattice represents a critical upper bound for...
متن کاملExtended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local instantaneous linear model-based predictive control methodologies together with a static offset pre-filter for assuring free tracking errors and disturbance rejection features. A non-linear state-space neural network archi...
متن کاملNon-Linear Model Predictive Control: A Personal Retrospective†
VOLUME 85, AUGUST 2007 INTRODUCTION Model predictive control (MPC) has been the most successful advanced control technique applied in the process industries. The formulation naturally handles time-delays, multivariable interactions and constraints. Particularly in the petrochemical industry, MPC has often been tuned for robustness rather than a high level of dynamic performance. In addition to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
سال: 2007
ISSN: 0959-6518,2041-3041
DOI: 10.1243/09596518jsce394