Management of a Production Cell Lubrication System with Model Predictive Control

نویسندگان

  • Andrea Cataldo
  • Andrea Perizzato
  • Riccardo Scattolini
چکیده

The energy efficiency of manufacturing systems represents a topic of huge interest for the management of innovative production plants. In this paper, a production cell based on three operating machines has been taken into account. In particular, each machine has an independent lubrication system whose lubricant is cooled by a centralized cooling system, while the lubrication fluid temperatures must be maintained inside known upper and lower bounds, and the controller of the centralized cooling system has to minimize the cooling power. In order to control the lubrication and cooling processes, a Model Predictive Controller (MPC) has been designed, synthetized, implemented and simulated. The main advantage of the proposed algorithm consists in the possibility to directly consider the temperature limits together with the maximum bound of the cooling power directly into the optimization problem. This means that the control action is computed using the a-priori knowledge of these bounds, resulting in better temperature profiles then those obtained with standard controllers, e.g. with saturated Proportional, Integral, Derivative (PID) ones.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Integration of the Decisions Associated with Maintenance Management and Process Control for a Series Production System

This paper studies a series production system through the integration of the decisions associated with Maintenance Management (MM) and Statistical Process Control (SPC). Hence, the primary question of the paper can be stated as follows: In a series production system, how can the decisions of MM and SPC be coordinated? To this end, an integrated mathematical model of MM and SPC is developed. Usi...

متن کامل

Model Predictive Inferential Control of a Distillation Column

Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

متن کامل

Design of Computer Integrated Manufacturing System for Irankhodro Auto Industry

Computer-integrated manufacturing (CIM), technologies are presented as solutions to manufacturing organizations, which need to perform well in all customer-related dimensions simultaneously. In the literature, CIM technologies providing such benefits as more frequent production changes, reduced inventory level, improved ability of producing complex parts with a high degree of accuracy and repea...

متن کامل

Design of Computer Integrated Manufacturing System for Irankhodro Auto Industry

Computer-integrated manufacturing (CIM), technologies are presented as solutions to manufacturing organizations, which need to perform well in all customer-related dimensions simultaneously. In the literature, CIM technologies providing such benefits as more frequent production changes, reduced inventory level, improved ability of producing complex parts with a high degree of accuracy and repea...

متن کامل

Improving the stability of the power system based on static synchronous series compensation equipped with robust model predictive control

Low-frequency oscillations (LFO) imperil the stability of the power system and reduce the Capacity of transmission lines. In the power systems, FACTS devices and Power System stabilizers are used to improve the stability. Static synchronous series compensators is one of the most important FACTS devices. This paper investigates the damping of LFO with static synchronous series compensator (SSSC)...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014