Evolutionary auto-tuning algorithm for PID controllers

Reynoso-Meza, Gilberto; Sanchis, Javier; Herrero, J. M.; Ramos, C.

doi:10.3182/20120328-3-it-3014.00107

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…Generally, the TITO system cannot be directly decomposed into two SISO systems, especially when complex coupling relationships exist between variables [12]. Therefore, some methods that are suitable for the online tuning for the SISO system are not applicable for the TITO situation, such as the self-tuning methods employed fuzzy control principles [13], neural network algorithms [14], genetic algorithms [15,16], etc. also be transmitted to the secondary shaft of the gearbox through the epicyclic mechanism and the synchronizing clutch.…”

Section: Introductionmentioning

confidence: 99%

Improved Decoupling Control for a Powershift Automatic Mechanical Transmission Employing a Model-Based PID Parameter Autotuning Method

et al. 2020

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Automatic mechanical transmission (AMT) with a gearshift assistant mechanism is a novel transmission architect concept aiming to improve the torque interruption and driveline jerk of AMT. During the shifting process, the shifting performance deteriorates as the varying road gradient and the friction coefficient worsen the coupling effect between the motor torque and the clutch friction torque. This paper focuses on improving the controller’s robustness of AMT with a gearshift assistant mechanism against the perturbed parameters during the stage of torque gap filling. In this paper, a detailed powertrain simulation model was presented. Based on a decoupling controller and a disturbance compensator, proportional-integral-differential (PID) controllers are applied to enhance the robustness and the decoupling effect. The PID parameters are automatically tuned by employing the Nelder-Mead method. In the tuning process, a cost function was established to demonstrate the outputs’ reference tracking performance, and the PID parameters are tuned by minimizing the cost function. Finally, the tuned parameters are stored in PID maps to make them adjustable online. Simulation results show that with the perturbed parameters well estimated, the upshift process was successful and the torque filling effect was also acceptable. The proposed transmission is a promising structure for industry applications.

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Section: Introductionmentioning

confidence: 99%

Improved Decoupling Control for a Powershift Automatic Mechanical Transmission Employing a Model-Based PID Parameter Autotuning Method

et al. 2020

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“…However, industrial processes often present characteristics such as time-varying and nonlinearities and although being initially well adjusted, they should be periodically retuned to maintain the desired closed-loop behavior. For this reason, various methods have been proposed for implementing auto-tuning and self-tuning PID controllers [5][6][7][8]. An improved phase angle margin auto-tuning method for the first-order plus time delay (FOPTD) model was proposed [5].…”

Section: Introductionmentioning

confidence: 99%

“…An improved phase angle margin auto-tuning method for the first-order plus time delay (FOPTD) model was proposed [5]. An autotuning procedure of a PID controller with derivative filter based on evolutionary algorithms and its on-line implementation were presented [6]. A self-tuning controller based on the method of frequency identification and in-tended for controlling plants with time-varying parameters under arbitrary bounded exogenous disturbances was proposed [7].…”

Section: Introductionmentioning

confidence: 99%

A Self-Tuning NPID Control Method for FOPTD Processes

Ha¹,

Mg²,

Mg³

et al. 2020

Preprint

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Owing to the time-varying characteristics and nonlinearities of industrial processes, control has higher difficulties and results in challenges for advanced technology. In this paper, a self-tuning controller that includes a nonlinear proportional-integral-derivative (NPID) control function as well as a self-tuning function is proposed for ﬁrst-order plus time delay (FOPTD) process control. The NPID control function is implemented using the nonlinear PID controller whose optimum parameters are adapted by a neural network (NN). The self-tuning function is able to identify the process dynamics using a short period of process behavior and tune NPID parameters based on the identified parameters. The advantage of the proposed method is validated with a set of simulation works on three processes and the comparison results are presented.

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“…Li J y otros [7] realizaron un algoritmo genético con codificación real, el cual no demuestra diferencias significativas con respecto al uso de un enjambre de partículas. Reynoso G et al [8] muestra un procedimiento de sintonización automática de parámetros de un controlador PID en forma serie, el cual muestra ventajas sobre Zigler-Nichols al controlar la respuesta de un conjunto de plantas de prueba propuestas de manera teórica. Renato A y otros [9] utiliza un algoritmo genético con codificación real para sintonizar un PID de dos grados de libertad, como planta de estudio se propone la función característica de un servomotor.…”

Section: Introductionunclassified

“…Yang M et al controlan la velocidad de rotación de un motor a través de un algoritmo genético cuyo criterio de paro es la convergencia del algoritmo. En base a lo documentado en el estado del arte se puede aseverar que la sintonización de controladores tipo PID realizada por algoritmos genéticos ofrecen mayores ventajas que el criterio de Zigler-Nichols, [6,8,10], cabe destacar que la codificación empleada en los citados trabajos fue binara, esto puede presentar errores de truncamiento en el momento de representar las variables k p , k i , k d ; esto es solucionado por una codificación real en [7] y [9], por último en [11] se documenta el paro de algoritmo genéticos por medio de la convergencia de la función objetivo.…”

Section: Introductionunclassified

Sintonización de un controlador Proporcional-Integral Derivativo aplicado a una celda termoeléctrica: Una comparación entre algoritmos genéticos

Mejía

Sánchez²,

Fuentes³

et al. 2015

RCS

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Resumen. Las celdas termoeléctricas son dispositivos semiconductores que se usan en la refrigeración móvil, su comportamiento, es decir la forma que responden a ciertos estímulos eléctricos puede manipularse por medio de técnicas de ingeniería de control, la más popular, el controlador Proporcional-Integral-Derivativo cuyos parámetros son sintonizados por medio del criterio de Zigler-Nichols; el cual, en este artículo, es comparado con un algoritmo genético canónico de 40 cromosomas y con una versión reducida de este, denominado micro algoritmo genético de 5 individuos. En este trabajo ambas técnicas evolutivas son codificadas con números reales y recombinadas por medio de operadores de cruce aritmético no uniforme. Los resultados generados por los algoritmos propuestos son simulados mediante Scilab.

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Evolutionary auto-tuning algorithm for PID controllers

Cited by 8 publications

References 26 publications

Improved Decoupling Control for a Powershift Automatic Mechanical Transmission Employing a Model-Based PID Parameter Autotuning Method

Improved Decoupling Control for a Powershift Automatic Mechanical Transmission Employing a Model-Based PID Parameter Autotuning Method

A Self-Tuning NPID Control Method for FOPTD Processes

Sintonización de un controlador Proporcional-Integral Derivativo aplicado a una celda termoeléctrica: Una comparación entre algoritmos genéticos

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