The Experts below are selected from a list of 12777 Experts worldwide ranked by ideXlab platform
Qingguo Wang - One of the best experts on this subject based on the ideXlab platform.
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Partial internal model control
IEEE Transactions on Industrial Electronics, 2001Co-Authors: Qingguo Wang, Qiang BiAbstract:Internal model control (IMC) is a well-known and effective control scheme. However, when unstable processes are concerned, the original IMC structure cannot be directly used for control system implementation. In this paper, a new scheme called partial internal model control (PIMC) is proposed, which is capable of controlling both stable and unstable processes. In PIMC, a process model is expressed as the sum of the stable and antistable parts and only the stable part of the process model is used as the internal model. The process stable part is canceled by the internal model and the remaining antistable part is stabilized and controlled with a Primary Controller, which is usually a PID-type regulator when the antistable part is of a low order. Various properties of a PIMC system such as internal stability and robust stability are analyzed. The design of PIMC is discussed in detail. Various simulation examples are included for illustration and a real-time implementation on a motor system is presented.
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decoupling smith predictor design for multivariable systems with multiple time delays
Chemical Engineering Research & Design, 2000Co-Authors: Qingguo Wang, Yu ZhangAbstract:In this paper, a new design approach to the multivariable Smith predictor Controller is proposed for decoupling and stabilizing multivariable processes with multiple time delays. A decoupler is first introduced in this new control scheme and a frequency domain approach to the decoupler design is given. To achieve better performance, additional delay items may be added to diagonal elements of the decoupler matrix. With this decoupler, the multivariable Smith predictor Controller design is simplified to multiple single-loop Smith predictor Controller designs. A frequency domain approach to the model reduction of the decoupled process is proposed and a design method for PID type Primary Controller is presented. Simulation examples are included to illustrate the effectiveness of the method, and significant performance improvement over the existing multivariable Smith predictor control schemes has been achieved with the proposed approach.
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re design of smith predictor systems for performance enhancement
Isa Transactions, 2000Co-Authors: Qingguo Wang, Qiang Bi, Yong ZhangAbstract:In this paper, a new design for Smith Predictor systems is presented. It employs a deliberately mismatched model to enhance performance over a perfectly matched system while using a simple Primary Controller. The design methodology is formulated in the frequency domain as an optimization problem and it turns out that an approximate solution can be obtained using the linear least squares method. To improve the performance further, a modified Smith Predictor system structure is also proposed, and it reduces the system into one involving second-order dynamics for the Primary Controller design. Illustrative simulation of several typical processes are included.
Bismark C. Torrico - One of the best experts on this subject based on the ideXlab platform.
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Simplified filtered Smith predictor for high-order dead-time processes.
ISA transactions, 2020Co-Authors: Bismark C. Torrico, Rene D. O. Pereira, Andresa K. R. Sombra, Fabrício G. NogueiraAbstract:Abstract This paper proposes a control structure suitable for high-order non-minimum phase (NMP) processes. In general, dead-time compensators (DTCs) firstly predict the process output with zero error at a steady-state and then a Primary Controller with an integrator is designed based on the delay-free model. The main advantage of the proposed structure is that the Primary Controller is only a state feedback gain with no integrators. This leads to fewer parameters to tune and lower order filters, while a robustness filter is used to reject disturbances and guarantee zero error at a steady state. Simulation results show better or equivalent performance compared to other recently published works, even kept the Controller design simplicity.
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simplified filtered smith predictor for mimo processes with multiple time delays
Isa Transactions, 2016Co-Authors: Tito L M Santos, Bismark C. Torrico, Julio E NormeyricoAbstract:This paper proposes a simplified tuning strategy for the multivariable filtered Smith predictor. It is shown that offset-free control can be achieved with step references and disturbances regardless of the poles of the Primary Controller, i.e., integral action is not explicitly required. This strategy reduces the number of design parameters and simplifies tuning procedure because the implicit integrative poles are not considered for design purposes. The simplified approach can be used to design continuous-time or discrete-time Controllers. Three case studies are used to illustrate the advantages of the proposed strategy if compared with the standard approach, which is based on the explicit integrative action.
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Simplified dead-time compensator for multiple delay SISO systems.
ISA transactions, 2015Co-Authors: Bismark C. Torrico, Wilkley Bezerra Correia, Fabrício G. NogueiraAbstract:This paper presents a dead-time compensation structure able to deal with stable and unstable multiple delay single input single output (SISO) systems. The proposed method aims to simplify the Primary Controller by replacing it for FIR filters placed at the feedback path. Such modification reduces the total number of parameters to be tuned which facilitates the overall design in comparison with other Primary Controllers normally considered. Simulation results show a better performance for the proposed control approach compared with other dead-time compensator (DTC) recently proposed in the literature.
Fabrício G. Nogueira - One of the best experts on this subject based on the ideXlab platform.
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Simplified filtered Smith predictor for high-order dead-time processes.
ISA transactions, 2020Co-Authors: Bismark C. Torrico, Rene D. O. Pereira, Andresa K. R. Sombra, Fabrício G. NogueiraAbstract:Abstract This paper proposes a control structure suitable for high-order non-minimum phase (NMP) processes. In general, dead-time compensators (DTCs) firstly predict the process output with zero error at a steady-state and then a Primary Controller with an integrator is designed based on the delay-free model. The main advantage of the proposed structure is that the Primary Controller is only a state feedback gain with no integrators. This leads to fewer parameters to tune and lower order filters, while a robustness filter is used to reject disturbances and guarantee zero error at a steady state. Simulation results show better or equivalent performance compared to other recently published works, even kept the Controller design simplicity.
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Simplified dead-time compensator for multiple delay SISO systems.
ISA transactions, 2015Co-Authors: Bismark C. Torrico, Wilkley Bezerra Correia, Fabrício G. NogueiraAbstract:This paper presents a dead-time compensation structure able to deal with stable and unstable multiple delay single input single output (SISO) systems. The proposed method aims to simplify the Primary Controller by replacing it for FIR filters placed at the feedback path. Such modification reduces the total number of parameters to be tuned which facilitates the overall design in comparison with other Primary Controllers normally considered. Simulation results show a better performance for the proposed control approach compared with other dead-time compensator (DTC) recently proposed in the literature.
Julio E Normeyrico - One of the best experts on this subject based on the ideXlab platform.
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simplified filtered smith predictor for mimo processes with multiple time delays
Isa Transactions, 2016Co-Authors: Tito L M Santos, Bismark C. Torrico, Julio E NormeyricoAbstract:This paper proposes a simplified tuning strategy for the multivariable filtered Smith predictor. It is shown that offset-free control can be achieved with step references and disturbances regardless of the poles of the Primary Controller, i.e., integral action is not explicitly required. This strategy reduces the number of design parameters and simplifies tuning procedure because the implicit integrative poles are not considered for design purposes. The simplified approach can be used to design continuous-time or discrete-time Controllers. Three case studies are used to illustrate the advantages of the proposed strategy if compared with the standard approach, which is based on the explicit integrative action.
Qiang Bi - One of the best experts on this subject based on the ideXlab platform.
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Partial internal model control
IEEE Transactions on Industrial Electronics, 2001Co-Authors: Qingguo Wang, Qiang BiAbstract:Internal model control (IMC) is a well-known and effective control scheme. However, when unstable processes are concerned, the original IMC structure cannot be directly used for control system implementation. In this paper, a new scheme called partial internal model control (PIMC) is proposed, which is capable of controlling both stable and unstable processes. In PIMC, a process model is expressed as the sum of the stable and antistable parts and only the stable part of the process model is used as the internal model. The process stable part is canceled by the internal model and the remaining antistable part is stabilized and controlled with a Primary Controller, which is usually a PID-type regulator when the antistable part is of a low order. Various properties of a PIMC system such as internal stability and robust stability are analyzed. The design of PIMC is discussed in detail. Various simulation examples are included for illustration and a real-time implementation on a motor system is presented.
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re design of smith predictor systems for performance enhancement
Isa Transactions, 2000Co-Authors: Qingguo Wang, Qiang Bi, Yong ZhangAbstract:In this paper, a new design for Smith Predictor systems is presented. It employs a deliberately mismatched model to enhance performance over a perfectly matched system while using a simple Primary Controller. The design methodology is formulated in the frequency domain as an optimization problem and it turns out that an approximate solution can be obtained using the linear least squares method. To improve the performance further, a modified Smith Predictor system structure is also proposed, and it reduces the system into one involving second-order dynamics for the Primary Controller design. Illustrative simulation of several typical processes are included.
