A window-based step-wise sequential phase partition method is proposed for monitoring nonlinear batch processes with multiphase operations. The three-dimensional batch data are unfolded in the batch-wise direction to ...
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A window-based step-wise sequential phase partition method is proposed for monitoring nonlinear batch processes with multiphase operations. The three-dimensional batch data are unfolded in the batch-wise direction to facilitate establishing the kernel principle component analysis (KPCA) models. A moving window is introduced to maintain the kernel parameters unchanged for computation while preserving the time sequence of different phases, thus capable of significantly reducing the storage space of kernel matrices and the computation complexity:. A numerical case and a penicillin fermentation process are used to demonstrate the effectiveness and merit of the proposed method.
This paper examines microgrid unit dispatch, with hourly bounds on energy exchange with the macrogrid and minimum storage level constraints. These goals can be used to meet market constraints and to ensure there is su...
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This paper examines microgrid unit dispatch, with hourly bounds on energy exchange with the macrogrid and minimum storage level constraints. These goals can be used to meet market constraints and to ensure there is sufficient energy reserved for future periods, respectively. In particular, economic model predictive control is used to minimize cost while ensuring these scheduling goals and other operational constraints are satisfied. Simulation of a dynamic microgrid system over a 24-hour period shows that the proposed dispatch strategy is able to effectively reject forecasting errors and meet the established energy exchange and storage level goals. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper we consider the problem of automatic control of oil production wells equipped with Electric Submersible Pumps (ESP). To facilitate robustness analysis of automatic control algorithms for such systems, a ...
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In this paper we consider the problem of automatic control of oil production wells equipped with Electric Submersible Pumps (ESP). To facilitate robustness analysis of automatic control algorithms for such systems, a high fidelity simulator of ESP lifted well producing heavy viscous crude oil, has been developed. Model Predictive control strategy proposed by the authors in an earlier publication has been tested on this simulator with the Main focus on controller performance and robustness. The results demonstrated sufficient, robustness of the controller with respect to system nonlinearities, variations in operating conditions, disturbances and measurement noise. (C) 2016, IFAC (International Federation of Autormatic control) Hosting by Elsevier Ltd. All reserved.
The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control,systems are increasingly more intertwined...
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The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control,systems are increasingly more intertwined. We argue that they are in fact already integrated and give the example of two key performance indicators (KPIs) that are defined in the recent international standard ISO 22400. The :focus of this study is on KPIs that consider both planned times and actual times. An amino acid production plant is used in the study, and the production is described from both the scheduling and the control perspective. To illustrate the integration, a schedule is computed containing the planned production times. Resulting measurements from the control system are analyzed for their actual production times using a proposed procedure that detects the start and end time of hatches. Using KPIs as the interface between scheduling and control can he used as a strategy for maximizing the plant performance. The study focuses on the process industry. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents simple tuning rules for low-order feedback and feedforward controllers based on an approximation of the filtered Smith predictor with closed-loop feed forward compensation. An analytical developmen...
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This paper presents simple tuning rules for low-order feedback and feedforward controllers based on an approximation of the filtered Smith predictor with closed-loop feed forward compensation. An analytical development is introduced to control stable first-order plus dead time processes affected by measurable disturbances that cannot be completely removed from the process output due to dead-time effects. Simulation results for the pH control of a tubular photobioreactor and the steam pressure control of an industrial boiler are given to show the effectiveness of the proposed method. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Membrane fouling can affect the performance of the membrane-based filtration for water treatment. Fouling thus increases operational costs. This work presents a modeling framework that combine first principle model wi...
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Membrane fouling can affect the performance of the membrane-based filtration for water treatment. Fouling thus increases operational costs. This work presents a modeling framework that combine first principle model with Gaussian process model that aims to reduce the energy load affected by the effect of fouling on the system. Based on the expected improvement algorithm, an optimization control is proposed to handle the long duration of the operation to achieve the most economical operation in term of energy load. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Lithium-ion batteries are widely used in industry to supply different portable applications. Their management is handled by Battery Management systems (BMSs), which are intended to ensure good performance (such as min...
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Lithium-ion batteries are widely used in industry to supply different portable applications. Their management is handled by Battery Management systems (BMSs), which are intended to ensure good performance (such as minimum charging time) while simultaneously minimizing safety risks. The use of accurate mathematical models can help in achieving such goals. The first-principles pseudo-two dimensional (P2D) model is one of the mostly used models for simulation but rarely used in design of BMSs. This model, together with a description of the capacity fade mechanisms occurring during battery operations, is used to design health-aware BMS strategies. A Model Predictive control (MPC) scheme based on a linearized version of the P2D model is proposed in order to track a reference value of the State of Charge (SOC), while taking into account the aging dynamics of the system as well as temperature and voltage constraints. Simulations show the effectiveness of the approach: the tuning of the control parameters allows controlled operation with different tradeoffs between charging time and battery lifetime enhancement. (C) 2016, IFAC (International Federation of Antomatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper looks into implementation of numerical optimal control problems of systems with a cascade structure, in which only one part of the dynamic equality constraints has path constraints. We consider two differen...
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This paper looks into implementation of numerical optimal control problems of systems with a cascade structure, in which only one part of the dynamic equality constraints has path constraints. We consider two different direct strategies for numerical implementation using direct methods: 1. Collocation for both parts of the cascade. 2. Direct, collocation for one part and single shooting for the other. To compare the methods We study the case of iceberg monitoring using a single unmanned aerial vehicle. The study reveals that the second method, under some conditions can be more computationally efficient than the first method. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In closed loop processcontrol with wireless measurements it must be ensured that communication packet dropouts and variable latency is handled properly with respect to the impact on the controlled process. A procedur...
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In closed loop processcontrol with wireless measurements it must be ensured that communication packet dropouts and variable latency is handled properly with respect to the impact on the controlled process. A procedure for automatic adjustment of the controller parameters is presented. The main property is to maintain the closed loop stability margin in presence of variable communication latency. The sampling rates in wireless instrumentation are usually chosen to be quite slow to save battery power in the transmitters, so both selecting the appropriate sampling rates and handling of the real transmission characteristics in a closed loop processcontrol environment require attention. The presented algorithm can handle typical wireless communication errors, and can also bc used to deliberately alter the sampling rate based on the actual disturbance level and by that save battery power in calm periods. The algorithm is based on the SIMC tuning rules. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents an original model for calcium phosphate crystallization from acidic wastewater. The model is developed using classical principles of chemistry and population balance modeling, The aim is to further...
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This paper presents an original model for calcium phosphate crystallization from acidic wastewater. The model is developed using classical principles of chemistry and population balance modeling, The aim is to further use the model for analysis, control and optimization of the crystallization process for phosphate recovery, The proposed model consists of one population balance equation coupled with four mass balance equations and a set of algebraic equations, which can be easily integrated with Matlab and MatMOL toolbox. The model is validated against PHREEQC, a software for speciation and geochemical calculations. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. Ali rights reserved.
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