Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry
نویسندگان
چکیده
This paper proposes a moving horizon estimator for nonlinear systems with unknown inputs, which do not comply with the model structures proposed in the literature for the design of nonlinear observers. The estimator is designed as an optimization problem over a moving horizon, constrained to process model equations and considering the unknown inputs as random inputs among their operating bounds. This proposal is applied to the transport of mineral slurries among process units, typically present in chemical and biological processes. There, to have the slurry properties as on-line measurements is vital to an efficient control of those processing units. The performance of proposed estimator is evaluated by simulation with data from a real processing plant, and its performance is compared with a linear estimator executing the same estimation task. Better results are obtained using the proposed estimator by considering the nonlinearities of the process.
منابع مشابه
Estimation of Flow Rate and Viscosity in a Well with an Electric Submersible Pump Using Moving Horizon Estimation
A Moving Horizon Estimator (MHE) is designed for a petroleum production well with an Electric Submersible Pump (ESP) installed for artificial lift. The focus is on estimating the flow rate from the well, the viscosity of the produced fluid, and the productivity index of the well. The software package ACADO is used to implement a Moving Horizon Estimator using a third-order nonlinear model. Simu...
متن کاملConstrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations
State estimator design for a nonlinear discrete-time system is a challenging problem, further complicated when additional physical insight is available in the form of inequality constraints on the state variables and disturbances. One strategy for constrained state estimation is to employ online optimization using a moving horizon approximation. In this article we propose a general theory for c...
متن کاملA Berry-Esseen Type Bound for a Smoothed Version of Grenander Estimator
In various statistical model, such as density estimation and estimation of regression curves or hazard rates, monotonicity constraints can arise naturally. A frequently encountered problem in nonparametric statistics is to estimate a monotone density function f on a compact interval. A known estimator for density function of f under the restriction that f is decreasing, is Grenander estimator, ...
متن کاملThe effect of slip casting parameters on the ultrafine microstructure and density of pore-free YAG ceramic obtained by vacuum sintering
In this study, the effect of slip casting parameters on the ultrafine microstructure and the density of pore-free YAG ceramic was evaluated. A stable, high concentrated aqueous YAG slurry using Dolapix-CE64 as a dispersant was prepared. The effect of dispersant concentration as well as the solid load on the stability and rheological behavior of the slurry was also studied. The optimal dispersan...
متن کاملOptimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation
We present a moving horizon estimation (MHE) application for multi-zone low-density (LDPE) polyethylene tubular reactors. The strategy incorporates a first-principles dynamic model comprised of large sets of nonlinear partial, differential and algebraic equations (PDAEs). It was found that limited temperature measurements distributed along the reactor are sufficient to infer all the model state...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017