PI controller with dynamic gains calculation to comply with time specs in presence of parametric disturbances

Ramos, M.A.P.; Esquivel, Sandro; Luna-Ortega, C.; Martinez, J.

doi:10.1109/iceee.2009.5393406

Cited by 3 publications

(9 citation statements)

References 3 publications

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“…This section presents a designing method for the conventional and adaptive PI controllers proposed in [5], the controller was implemented in an Allen Bradley PLC model MicroLogix 1500 LSP series C.…”

Section: Methodsmentioning

confidence: 99%

“…Next, we show the way to calculate the PI controller gains, through the pole assignment method, for first order systems [5].…”

Section: B Tuning Gain Of the Pi Controllermentioning

confidence: 99%

“…The architecture of the adaptive PI controller used in [5], is shown. In this paper, we use a controller with an STR structure [2].…”

Section: Adaptive Pi Controllermentioning

confidence: 99%

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Adaptive PI controller for a flow process, using an industrial platform with an OPC communication protocol

Ramírez

Paz

Fernández

et al. 2011

2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control

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In this paper, the use of a conventional and adaptive PI control strategy is discussed. These are applied to a loop of flow process with a first-order dynamic subjected to disturbances. Gain tuning is achieved by using the pole assignment method, considering a desired output response, even in the presence of disturbances. We implement this method in a flow process with parametric changes, using a common industrial platform, as is a programmable logic controller (PLC), with virtual instrumentation and the industrial communication protocol OLE for process control (OPC).

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Section: Methodsmentioning

confidence: 99%

“…Next, we show the way to calculate the PI controller gains, through the pole assignment method, for first order systems [5].…”

Section: B Tuning Gain Of the Pi Controllermentioning

confidence: 99%

See 1 more Smart Citation

Adaptive PI controller for a flow process, using an industrial platform with an OPC communication protocol

Ramírez

Paz

Fernández

et al. 2011

2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control

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“…5,6 The problems of performance due to changes in the process mentioned above and the need for manual adjustment of the gains by operators can be solved with the implementation of an advanced control technique in conjunction with the use of a conventional structure such as a PI controller. In this article, an STR-based approach is employed to adjust the parameters in the control system, and this system performs based on dynamic changes in the process to be controlled, as proposed by Paz Ramos et al 7 In the literature can be found mainly adaptive control applications in process control where the time constants are large; however, there are also applications of adaptive control to control actuators used in robotic applications 8 ; nevertheless, they are implemented in specific purpose hardware platforms with which a closed architecture is usually used. Also, other adaptive control structures have been used in manipulator robots.…”

Section: Introductionmentioning

confidence: 99%

“…20,21 The implementation consists of two stages: a. Developing an adaptive control algorithm that allows the dynamic computation of PI controller gains, based on the algorithm presented by Paz Ramos et al, 7 to maintain the required performance criteria in the presence of parametric disturbances. The abstraction of systems of the control algorithm needs to be designed carefully to take the system into first-or second-order transfer functions.…”

Section: Introductionmentioning

confidence: 99%

Adaptive proportional–integral controller using OLE for process control for industrial applications

Paz

Ramírez-delReal

Garibo

et al. 2017

International Journal of Advanced Robotic Systems

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This article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses proportional-integral action and dynamic computation of the controller's gains (self-tuning regulator), to maintain performance specifications, even in the presence of parametric disturbances. This architecture offers advantages over other advanced embedded control systems implemented on industrial programmable logic controllers and other hardware platforms. Implementation of controllers on industrial hardware platforms is possible through the Object Linking and Embedding (OLE) for process control communication standard. The implementation for an adaptive controller here proposed was evaluated through experiments using firstorder and overdamped second-order systems emulated by hardware-in-the-loop, with a programmable automation controller. Performance of the adaptive controllers was compared to that of conventional proportional-integral controllers, and effectiveness of the former over the latter was demonstrated through the experiments carried out.

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Adaptive PID Controller Using RLS for SISO Stable and Unstable Systems

Fahmy¹,

Badr

Rahman³

2014

Advances in Power Electronics

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The proportional-integral-derivative (PID) is still the most common controller and stabilizer used in industry due to its simplicity and ease of implementation. In most of the real applications, the controlled system has parameters which slowly vary or are uncertain. Thus, PID gains must be adapted to cope with such changes. In this paper, adaptive PID (APID) controller is proposed using the recursive least square (RLS) algorithm. RLS algorithm is used to update the PID gains in real time (as system operates) to force the actual system to behave like a desired reference model. Computer simulations are given to demonstrate the effectiveness of the proposed APID controller on SISO stable and unstable systems considering the presence of changes in the systems parameters.

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PI controller with dynamic gains calculation to comply with time specs in presence of parametric disturbances

Cited by 3 publications

References 3 publications

Adaptive PI controller for a flow process, using an industrial platform with an OPC communication protocol

Adaptive PI controller for a flow process, using an industrial platform with an OPC communication protocol

Adaptive proportional–integral controller using OLE for process control for industrial applications

Adaptive PID Controller Using RLS for SISO Stable and Unstable Systems

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