Dynamic Controllers
Mostrando 1-12 de 63 artigos, teses e dissertações.
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1. INTEGRATING REAL TIME OPTIMIZATION AND MODEL PREDICTIVE CONTROL OF A CRUDE DISTILLATION UNIT
Abstract This work reports the integration of Real Time Optimization and Model Predictive Control in the multi-layer control structure of an existing Crude Distillation Unit (CDU) of an oil refinery. The MPC considers output control zones and targets for the inputs or outputs. Both the infinite horizon and the finite output horizon controllers were tested. T
Braz. J. Chem. Eng.. Publicado em: 09/12/2019
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2. MULTIVARIABLE OPTIMAL CONTROL OF A HEAT EXCHANGER NETWORK WITH BYPASSES
Abstract Heat exchanger networks present an interesting control problem due to coupling among process streams. In this work, the linear quadratic regulator (LQR), a feedback optimal control technique, is used to control stream temperatures on a laboratory scale heat exchanger network, through bypass manipulation, in a multivariable system. The LQR design was
Braz. J. Chem. Eng.. Publicado em: 2016-03
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3. REALIGNED MODEL PREDICTIVE CONTROL OF A PROPYLENE DISTILLATION COLUMN
Abstract In the process industry, advanced controllers usually aim at an economic objective, which usually requires closed-loop stability and constraints satisfaction. In this paper, the application of a MPC in the optimization structure of an industrial Propylene/Propane (PP) splitter is tested with a controller based on a state space model, which is suitab
Braz. J. Chem. Eng.. Publicado em: 2016-03
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4. An optimal integrated longitudinal and lateral dynamic controller development for vehicle path tracking
AbstractIn this paper, an optimal controller for integrated longitudinal and lateral closed loop vehicle/driver dynamics proposed to follow desired path in various driving maneuvers, which also improved maneuverability and stability of vehicle over desired path. Designed controller imposed corrected steering angle and torque on the wheels to keep the vehicle
Lat. Am. j. solids struct.. Publicado em: 2015-06
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5. Multi-model MPC with output feedback
In this work, a new formulation is presented for the model predictive control (MPC) of a process system that is represented by a finite set of models, each one corresponding to a different operating point. The general case is considered of systems with stable and integrating outputs in closed-loop with output feedback. For this purpose, the controller is bas
Braz. J. Chem. Eng.. Publicado em: 2014-03
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6. Application of H∞ theory to a 6 DOF flight simulator motion base
The purpose of this study is to apply inverse dynamics control for a six degree of freedom flight simulator motion system. Imperfect compensation of the inverse dynamic control is intentionally introduced in order to simplify the implementation of this approach. The control strategy is applied in the outer loop of the inverse dynamic control to counteract th
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2012-06
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7. Modelagem e simulação de reatores autoclave para produção de PEBD
The low density polyethylene (LDPE) is a thermoplastic resin manufactured by high pressure processes, with autoclave or tubular type reactors. The present scenario is of growing demand for LDPE produced at competitive costs, through high performance and capacity plants, so that the process and product development becomes a key factor for the producers, and p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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8. Controle PID e Preditivo â Aspectos TeÃricos e de ImplementaÃÃo PrÃtica / Control PID AND Predictive - Theoretical Aspects and Practical Implemantation
Nowadays, we observe the exponential increasing of demand for performance optimization in all areas of modern life. This search for better performances is also occurring in all industry sectors, either factory or energy activities. This best performances reflects an increase is all levels and achieve enormously the process control systems. With more strict p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/09/2011
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9. A dynamic extension for LgV controllers
A dynamic state feedback control structure is proposed in this paper. The scheme is conceived as an adaptive controller with the equilibrium in an LgV control law as the uncertain parameter, which allows the implementation of the controller for systems with unknown equilibrium. A new property of LgV controllers is given, and it is proven that this and other
Publicado em: 2011
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10. Dynamic output feedback for discrete-time systems under amplitude and rate actuator constraints
This work proposes a technique for the design of stabilizing dynamic output feedback controllers for discrete-time linear systems with rate and amplitude saturating actuators. The nonlinear effects introduced by the saturations in the closed-loop system are taken into account by using a generalized sector condition, which leads to theoretical conditions for
Publicado em: 2011
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11. Projeto de controladores dinâmicos com comutação : aplicação em sistemas mecânicos e conversores de potência CC-CC / Synthesis of switched dynamic controllers : application to mechanical systems and CD-CD power converters
Esta tese trata do projeto de controladores dinâmicos H2 ou H? via realimentação de saída para sistemas lineares com comutação contínuos e discretos no tempo. Inicialmente, apresentamos a síntese via realimentação de estado de forma a colocar em evidência as principais dificuldades para a obtenção da solução do problema de projeto mais realist
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/08/2010
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12. Development, implementation and performance evaluation of a self-tuning regulator adaptive controller applied to a FCC process / Desenvolvimento, implementação e avaliação de desempenho de um controlador adaptativo do tipo self-tuning regulator aplicado a um processo FCC
This work had as main objective the development and implementation of an selftuning regulator (STR) adaptive controller, with subsequent comparison of its performance with a PID (proportional-integral-derivative) controller and two predictive controllers, namely a predictive based on artificial neural networks (MPC-ANN) and a dynamic matrix controller (DMC).
Publicado em: 2010