New tuning method for PID controller

Shen, Jing-Chung

doi:10.1016/s0019-0578(07)60103-7

Cited by 74 publications

(43 citation statements)

References 8 publications

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“…Another is the intelligence algorithm for tuning parameters tuning. In [34], GA was used as an optimal method for the parameters of the PID controller. Through the comparison of simulation results, GA was more efficient than practical Z-N tuning in tuning parameters.…”

Section: Proportion Integration Differentiation Controllermentioning

confidence: 99%

Pressure Control for a Hydraulic Cylinder Based on a Self-Tuning PID Controller Optimized by a Hybrid Optimization Algorithm

Wang

Tan

et al. 2017

Algorithms

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Abstract:In order to improve the performance of the hydraulic support electro-hydraulic control system test platform, a self-tuning proportion integration differentiation (PID) controller is proposed to imitate the actual pressure of the hydraulic support. To avoid the premature convergence and to improve the convergence velocity for tuning PID parameters, the PID controller is optimized with a hybrid optimization algorithm integrated with the particle swarm algorithm (PSO) and genetic algorithm (GA). A selection probability and an adaptive cross probability are introduced into the PSO to enhance the diversity of particles. The proportional overflow valve is installed to control the pressure of the pillar cylinder. The data of the control voltage of the proportional relief valve amplifier and pillar pressure are collected to acquire the system transfer function. Several simulations with different methods are performed on the hydraulic cylinder pressure system. The results demonstrate that the hybrid algorithm for a PID controller has comparatively better global search ability and faster convergence velocity on the pressure control of the hydraulic cylinder. Finally, an experiment is conducted to verify the validity of the proposed method.

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Section: Proportion Integration Differentiation Controllermentioning

confidence: 99%

Pressure Control for a Hydraulic Cylinder Based on a Self-Tuning PID Controller Optimized by a Hybrid Optimization Algorithm

Wang

Tan

et al. 2017

Algorithms

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“…Por otro lado, se tienen las conocidas estrategias de diseño en las que el parámetro de diseño es directamente la medida de robustez escogida para el sistema en lazo cerrado: Kappa-Tau [10], [17][18], Método KL150 [19], Optimización de objetivo múltiple (MOO) [20], Método AMIGO [2], Método PI2Ms [21] y MoReRT [22][23].…”

Section: Existen Otras Medidas De Sensibilidad Comounclassified

A proposal of robust tunning rules for PI-2DoF controllers

Rivero

Llanes‐Santiago

2017

Ingeniare. Rev. chil. ing.

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RESUMENUna estructura de dos grados de libertad permite unificar el diseño del controlador tanto para perturbaciones en la carga como para cambios en la referencia. En el diseño de un controlador proporcional integral derivativo de dos grados de libertad (PI-2DoF) es necesario introducir condiciones de robustez. El presente trabajo propone una regla de sintonía que permite obtener el nivel de robustez en un intervalo continuo con un error no mayor que "± 0,06" del valor deseado, superando la dificultad de los márgenes de robustez discretos. Las reglas se obtuvieron mediante un ajuste de curvas de los parámetros óptimos del controlador, obtenidos a partir de la aplicación del algoritmo de optimización evolución diferencial sobre un conjunto de plantas de prueba representativa de procesos industriales. Se utilizan las reglas de ajuste para el control PI-2DoF para establecer la comparación con las reglas existentes en la literatura.Palabras clave: Control PI-2DoF, robustez, reglas de sintonía, evolución diferencial. ABSTRACT A structure of two degrees of freedom permits uniting the controller's design so much for disturbances in the load same as for changes in the reference. In the design of a proportional integral derivative controller of two degrees of freedom (PI-2DoF) it is necessary to introduce conditions of robustness. The present paper proposes a rule of tuning that permits getting the level of robustness in a continuous interval with a smaller error than "± 0.06" of the desired value, surpassing the difficulty of the discreet margins of robustness. The rules was obtained using an adjustment of curves of the controller's optimal parameters, obtained as from the application of the differential evolution optimization's algorithm on a set of representative test's plants of industrial processes.The tuning rules for PI-2DoF control are used to establish the comparison with the rules in literature.Keywords: Controller PI-2DoF, robustness, rules of tuning, differential evolution. INTRODUCCIÓNUn controlador Proporcional Integral Derivativo (PID) es uno de los métodos de control más frecuentes y precisos dentro de la regulación automática. Su gran aceptación se debe, entre otras características, a su sencillez, ya que son solo tres parámetros a sintonizar, y a la efectividad de sus acciones de control [1][2][3].El desarrollo de reglas de sintonía para controladores PID surge en gran medida por la necesidad de contar con métodos de ajuste que relacionen los parámetros del controlador con los parámetros del modelo del

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“…Consider the process having second-order plus delay-time model as given by [24] with parameters in (25) (25) For this process model the PID controller is design by using the basic PID tuning methods such as Ziegler-Nichols (Z-N) method, Cohen-Coon (C-C) method and Kappa-Tau (K-T) method. These basic PID controllers' parameters are obtained from the knowledge of the process parameters such as .…”

Section: Examplementioning

confidence: 99%

Performance Enhancement of SOPDT System with Numerically Optimized PID Controller

B¹

2015

IJRITCC

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Abstract-This paper presents a simple but effective method for designing robust PID controller. The robust PID controller design problem is solved by the maximization, on a finite interval of the shortest distance from the Nyquist curve of the open loop transfer function to the critical point i.e. from the knowledge of maximum sensitivity . Simple formulae are derived to tune/design PID controllers to achieve the improved performance for the given process or system. From control theory we know that all the real time processes have inherent time delays and time constants associated with it. The PID tuning method elaborated in this paper is found to be superior as compared with basic PID tuning methods based on second-order plus delay-time (SOPDT) model of process. Two simulation examples are demonstrated to show the applicability and effectiveness of the given method.

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New tuning method for PID controller

Cited by 74 publications

References 8 publications

Pressure Control for a Hydraulic Cylinder Based on a Self-Tuning PID Controller Optimized by a Hybrid Optimization Algorithm

Pressure Control for a Hydraulic Cylinder Based on a Self-Tuning PID Controller Optimized by a Hybrid Optimization Algorithm

A proposal of robust tunning rules for PI-2DoF controllers

Performance Enhancement of SOPDT System with Numerically Optimized PID Controller

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