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loop identification » modal identification (Expander búsqueda), _ identification (Expander búsqueda), self identification (Expander búsqueda)
loop identification » modal identification (Expander búsqueda), _ identification (Expander búsqueda), self identification (Expander búsqueda)
1
artículo
This paper presents a study of the effect of delay in the performance of closed loop systems control plants that can be modeled as second order sobreamortiguadas, in which were not considered the delay in the controller design. They choose the types of plants representative of the second order and are designed for each driver to the classic controller as proportional integral derivative (PID). Experienced with test plants which are conducted previously analog and identification procedures are then controlled by the PID incorporating delays corresponding to plants is not considered in the design. Tests are performed to obtain the corresponding closed-loop performance parameters measured dynamic response to the output of the plant.
2
artículo
This paper presents a study of the effect of delay in the performance of closed loop systems control plants that can be modeled as second order sobreamortiguadas, in which were not considered the delay in the controller design. They choose the types of plants representative of the second order and are designed for each driver to the classic controller as proportional integral derivative (PID). Experienced with test plants which are conducted previously analog and identification procedures are then controlled by the PID incorporating delays corresponding to plants is not considered in the design. Tests are performed to obtain the corresponding closed-loop performance parameters measured dynamic response to the output of the plant.
3
artículo
Publicado 2007
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The objective of this work is the re-identification of the process model that is used in existing predictive controllers (MPC) using closed-loop operation data. The controller is assumed to have a two-layer structure, where in the upper layer a simple economic optimization algorithm determines a set of optimal steady-state values ("targets"), which are passed to the MPC for implementation. This is the case for several commercial MPC packages applied in the industry. This paper focuses on the case where the model represents significant benefits in the MPC re-commissioning procedure. A new methodology is proposed to excite the system in closed loop, introducing persistent excitation signals in the objective function of the upper layer of the MPC. This strategy allows the continuous operation of the system, respecting the constraints of the process and meeting the specifications of th...
4
artículo
Publicado 2007
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This paper deals with the model re-identification in closed-loop systems with already existing MPC controllers. lt is assumed that the controller has a two-layer structure where the upper layer performs a simplified economic optimization in which the economic objective is represented as a linear combination of the process inputs. This is the case of several commercial MPC packages applied in industry. This work focuses on the case where the existing process model shows signs of deterioration and there is benefit in obtaining a new model. It is proposed a methodology where the test signal is introduced in the coefficients of the objective function of the economic layer. The approach allows the continuous operation of the system as the process constraints and product specification can be satisfied during the test. The application of the method is illustrated by simulation on a C3/C4 splitt...
5
artículo
Publicado 2007
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This paper deals with the model re-identification in closed-loop systems with already existing MPC controllers. lt is assumed that the controller has a two-layer structure where the upper layer performs a simplified economic optimization in which the economic objective is represented as a linear combination of the process inputs. This is the case of several commercial MPC packages applied in industry. This work focuses on the case where the existing process model shows signs of deterioration and there is benefit in obtaining a new model. It is proposed a methodology where the test signal is introduced in the coefficients of the objective function of the economic layer. The approach allows the continuous operation of the system as the process constraints and product specification can be satisfied during the test. The application of the method is illustrated by simulation on a C3/C4 splitt...
6
artículo
Publicado 2022
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This article presents an overview of the problem of identifying linear and nonlinear systems (Wiener type) operating in open loop. There are several algorithms that solve this problem, among them are the subspace methods (MOESP and N4SID). In order to evaluate the performance of the MOESP and N4SID methods, a simulated example is presented to compare the performance of these algorithms.
7
artículo
Nowadays, an engineer’s work consists more and more of obtaining mathematical models of the studied processes. Great part of the literature referring to system identification deals with how to find polynomial models as Prediction Error Methods (PEM) and Instrumental Variable Methods (IVM). In case of complex systems, the state space model appears as an alternative to PEM and IVM models. For multivariable systems, these methods provide reliable state space models directly from input and output data. As systems of large dimensions are usually found in industry, the application of subspace identification algorithms in this field is very promising. Currently the subspaceidentification models Multivariable Output Error State sPace (MOESP) and Numerical algorithms for Subspace State Space System IDentification (N4SID), are topic of study. The objective of this work is to implement th...
8
artículo
Nowadays, an engineer’s work consists more and more of obtaining mathematical models of the studied processes. Great part of the literature referring to system identification deals with how to find polynomial models as Prediction Error Methods (PEM) and Instrumental Variable Methods (IVM). In case of complex systems, the state space model appears as an alternative to PEM and IVM models. For multivariable systems, these methods provide reliable state space models directly from input and output data. As systems of large dimensions are usually found in industry, the application of subspace identification algorithms in this field is very promising. Currently the subspaceidentification models Multivariable Output Error State sPace (MOESP) and Numerical algorithms for Subspace State Space System IDentification (N4SID), are topic of study. The objective of this work is to implement th...
9
artículo
Publicado 2020
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
10
artículo
This paper presents a methodology for the design and the implementation of a PID (Proportional-Integral-Derivative) using IMC (Internal Model Control) tuning method by means of experiments performed on organic banana. In this work, the parameters of the linear and nonlinear model of a cooling chamber for fruits are identified. Simulation studies and implementation of the PID-IMC closed-loop control system demonstrate that energy saving were obtained of the order of 20% with respect to the entire system. © 2020 IEEE.
11
artículo
Publicado 2020
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Many automotive systems such as engines have manufacturing tolerances or change over time. This limits the performance of controllers tuned for the nominal case. A robust controller can not always overcome this performance gap. Against this background, in this work, we propose a self-tuning control strategy for an engine air path model obtained from data of a real engine and show its benefits setting. The self-tuning control consists of an online parameter estimation algorithm for polynomial non-linear autoregressive with exogenous input (PNARX) models and a nonlinear model predictive controller (NMPC) implemented by the continuation/generalized minimum residual (C/GMRES) algorithm. In a first step design of experiments (DOE) is utilized to identify a PNARX model offline from measurements performed on an engine test bed. A tracking NMPC is designed for this model and applied in simulatio...
12
artículo
Publicado 1998
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This paper with the problem of parameter identification and trajectory tracking of a nonlinear electro-mechanical system, which consists of a DC motor that drives a nonlinear load that resembles a one-degree-of-freedom robotic manipulator. The system presents two types of nonlinearity; one of a discontinuous nature, due to static and Coulomb frictions, and the other continuous, due to non-linear loading. Only the angular position of the nonlinear load is available for feedback purposes. Static and Coulomb frictions are modeled and compensated using a nonlinear compensation scheme that depends on the speed of the load. The unknown parameters of the nonlinear compensating and unloaded system are identified open loop in the frequency domain using Feedback Linearization. Finally, the implementation of the designed control system is presented, together with its experimental results, which are...
13
artículo
Publicado 2007
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El objetivo de este trabajo es la re-identificación del modelo de proceso que se utiliza en controladores predictivos (MPC) ya existentes usando datos de operación en lazo cerrado. Se asume que el controlador tiene una estructura en dos capas, donde en la capa superior un simple algoritmo optimización económica determina un conjunto de valores óptimos en estado estacionario (“targets ”), los cuales son pasados al MPC para su implementación. Este es el caso de varios paquetes comerciales MPC aplicados en la industria. El presente trabajo enfoca el caso donde el modelo del proceso presenta signos de deterioro, por lo que obtener un nuevo modelo representa beneficios significativos en el procedimiento de re-comisionamiento del MPC. Se propone una nueva metodología para excitar el sistema en lazo cerrado, introduciendo señales de excitación persistente en la función objetivo de...
14
artículo
Publicado 2014
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Experimental results are presented adaptive control with reference model of a plant according to your previously made identification can be represented as a first order system. Is chosen as the reference model also one of the first order with unity gain. Adaptive controller analysis is performed, justifying its performance in closed loop depends on the proper choice of a scale parameter adjustable. The controller is implemented and temporary plant responses to step inputs for different kinds of adjustable parameter values are recorded.
15
artículo
Publicado 2014
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Experimental results are presented adaptive control with reference model of a plant according to your previously made identification can be represented as a first order system. Is chosen as the reference model also one of the first order with unity gain. Adaptive controller analysis is performed, justifying its performance in closed loop depends on the proper choice of a scale parameter adjustable. The controller is implemented and temporary plant responses to step inputs for different kinds of adjustable parameter values are recorded.
