Modelado Matemático de un Controlador PID de Ganancia Variable dependiente del Punto de Consigna en la Salida de un PID Convencional

Revista de Operaciones Tecnologicas ◽

10.35429/jto.2019.12.3.1.6 ◽

2019 ◽

pp. 1-6

Author(s):

Julio Zenón García-Cortés ◽

Francisco Javier Carrillo-García ◽

Erick del Jesus Tamayo-Loeza ◽

Ivan de Jesus May-Cen

Keyword(s):

Mathematical Model ◽

Pid Control ◽

Control Structure ◽

Nonlinear Pid Control ◽

Conventional Methods

A PID control structure was modified proposed by K. Ogata. It is proposed a structure Nonlinear PID control, implemented using analogical electronics. A mathematical model was obtained using conventional methods. It was proved the validity of the model obtained comparing against the response of the model proposed by K. Ogata. It was concluded that the proposed structure is stable.

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Structural analysis of fuzzy controllers with nonlinear input fuzzy sets in relation to nonlinear PID control with variable gains*1

Automatica ◽

10.1016/s0005-1098(04)00116-5 ◽

2004 ◽

Author(s):

A HAJALI

Keyword(s):

Structural Analysis ◽

Fuzzy Sets ◽

Pid Control ◽

Fuzzy Controllers ◽

Nonlinear Input ◽

Nonlinear Pid Control

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Energy Efficiency and Tracking Performance Evaluation for Dual-Mode Model Predictive Control of HVAC Systems

Journal of Thermal Science and Engineering Applications ◽

10.1115/1.4040281 ◽

2018 ◽

Vol 10 (4) ◽

Cited By ~ 2

Author(s):

Zicheng Cai ◽

Asad A. Ul Haq ◽

Michael E. Cholette ◽

Dragan Djurdjanovic

Keyword(s):

Energy Consumption ◽

Predictive Control ◽

Pid Control ◽

Control Structure ◽

Tracking Performance ◽

System Control ◽

Hvac System ◽

Dual Mode ◽

Different Types ◽

Predictive Controller

This paper presents evaluation of the energy consumption and tracking performance associated with the use of a recently introduced dual-mode model predictive controller (DMMPC) for control of a heating, ventilation, and air conditioning (HVAC) system. The study was conducted using detailed simulations of an HVAC system, which included a multizone air loop, a water loop, and a chiller. Energy consumption and tracking performance are computed from the simulations and evaluated in the presence of different types and magnitudes of noise and disturbances. Performance of the DMMPC is compared with a baseline proportional-integral-derivative (PID) control structure commonly used for HVAC system control, and this comparison showed clear and consistent superiority of the DMMPC.

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