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Following the evolution of growing computing power of industrial embedded devices, this paper investigates the use of an online Model Predictive Control (MPC) algorithm on an embedded Programmable Automation Controller (PAC). The controller is tested on a pilot-scale binary distillation column to track reference temperatures. A major task in each model predictive control algorithm is the solution...
Heating, ventilation and air conditioning (HVAC) systems are among the largest energy consumers in many buildings. As is known, modeling and identification play important roles in the study of HVAC systems. A good model is very helpful for improving efficiency of the HVAC system. Very recently, a physics-based model of room temperature was proposed. Motivated by this inspiring work, this paper, based...
A model predictive control at supervisory level is proposed for refrigeration systems including distributed local controllers. Prediction of the electricity price and outdoor temperature are assumed available. The control objective is to minimize the overall energy cost within the prediction horizon. The method is mainly developed for demand-side management in the future smart grid, but a simpler...
This paper proposes a model for the internal temperature of a SI engine catalyst, aiming at designing a prediction-based light-off strategy. Due to its elongated geometry where a gas stream is in contact with a spatially distributed monolith, the system under consideration is inherently a distributed parameter system. This paper advocates an approach which is based on a one-dimensional distributed...
Parameter identification in infinite-dimensional systems with lumped measurements is considered. The proposed method is based on a convolutional input-output relation of the underlying system of partial differential equations. The derivation of this input-output relation is presented in a framework involving (ultra-)distributions. The unknown parameters are determined by minimizing an associated error...
A crucial issue in next generation many-core computing systems is the dynamic thermal control for run-time performance optimization. To this end, scalable, compact and effective thermal models are essential. In this paper, we present an algorithm based on the Frisch scheme to obtain identification of distributed core-centric interacting models, dealing with very noisy temperature measurements and...
Isolating fault variables is a crucial step to provide the information that which variables are responsible for the fault for diagnosing the root causes of a process fault. In chemical processes, process faults rarely show a random behavior; on the contrary, they will be propagated to varying variables due to the actions of the process controllers. During the evolution of a fault, the task of isolating...
The Swedish nuclear waste will be stored in copper canisters and kept isolated deep under ground for more than 100,000 years. To ensure reliable sealing of the canisters, friction stir welding is used. To repetitively produce high quality welds, it is vital to use automatic control of the process. This paper introduces a nonlinear model predictive controller for regulating both plunge depth and stir...
Polymer Electrolyte Membrane Fuel Cell (PEMFC) is a promising power source for a wide range of applications. Fault diagnosis, especially online fault diagnosis, is an essential issue to promote the development and widespread use of PEMFC technology. This paper proposes a diagnosis approach for large PEMFC stack. In this approach, flooding fault is concerned; individual cell voltages are chosen as...
The utilization of solid oxide fuel cells (SOFCs) as well as other high-temperature fuel cells for a decentralized power supply demands for reliable and guaranteed stabilizing control strategies, that are capable of providing electrical and thermal energy. Moreover, it is essential to increase the number of possible thermal cycles of SOFCs by means of control laws which reduce temperature gradients...
In this paper it is addressed the joint operation and control design for binary batch distillation columns, based on temperature measurements. The combination of nonlinear constructive control theory with passivation and observability notions and existing batch distillation concepts yields: (a) a simple methodology for temperature sensor locations, (b) the on-line generation of temperature policies...
In this paper a high-fidelity single-input and single-output (SISO) simulation model for an asymmetric nonlinear electrothermal actuator is presented. The model was mainly developed using grey-box system identification and considers energy conversion and energy flow between electrical, thermal and mechanical domains. It is particularly useful for investigation of different control strategies (control...
This note presents some results from laboratory experiments that were conducted to characterize the influence of temperature in the mortality of adults of the insect known as lesser grain borer, Rhyzopertha dominica (F.). The insects were separated into strains and were appropriately immersed into a mass of wheat, and the infested wheat was stored in a silo bin of small dimensions with control of...
The possibilities for improving the efficiency of an indirect-fired strip annealing furnace with radiant tubes are explored. First, the influence of the fuel/air-ratio on the efficiency is analyzed by means of linearized relationships. Second, the optimum operating range of an individual radiant tube and a new control strategy for the fuel supply are derived. Both analyses are based on the balance...
In the present work the problem of the furnaces combustion optimization in petrochemical environment is presented. In particular, the paper is focused on the combustion efficiency that directly affects the operating costs of the plant. A preliminary study of the combustion process has been performed. A model of the system has been obtained by a black-box approach and limitations of the existing control...
In this paper a multi-variable control for the simultaneous control of the air temperature and the air humidity of an industrial heating ventilating and air conditioning (HVAC) system is presented. For the multi-input-multi-output (MIMO) control the model predictive control (MPC) method is applied. To model the system local linear neuro fuzzy models (LLNFM) are used and computed by the so-called Local...
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