Comparison of Advanced Control Methods with Classical Pid Control for Using in Heating Process Control Based on Outdoor Temperature Compensation

نویسندگان

  • Ivana LUKÁČOVÁ
  • Jana BORŽÍKOVÁ
چکیده

The aim of this paper is to analyse the dynamic properties of a Model Free Adaptive (MFA) Control, Model Predictive Control (MPC) and Proportional–Integral–Derivative (PID) Control. Usually the PID-Control as standard control method is still used in industry. From more advanced control methods MPC is used the most frequently. Properties of the MFA controller, MPC controller and the classic PID controller were compared mutually by simulation experiments with model of heating process control based on the outdoor temperature compensation with room influence. The design of MFA and MPC controller was implemented in MATLAB environment.

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

Fuzzy gain scheduling of PID controller for stiction compensation in pneumatic control valve

Inherent nonlinearities like, deadband, stiction and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be t...

متن کامل

A Novel Self-tuning Zone PID Controller for Temperature Control via a PLC code

S7-1200 with Tia Portal technology has become a Standard function of distributed controlsystems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLCtechniques contain software packages for advanced control based on mathematical methods. S7-1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most ofthe present time digital industry r...

متن کامل

Control of a Heat Exchanger Using Neural Network Predictive Controller and Auxiliary Fuzzy Controller

The paper presents an advanced control strategy that uses the neural network predictive controller and the fuzzy controller in the complex control structure with an auxiliary control variable. The controlled tubular heat exchanger was used for pre-heating of petroleum by hot water. The heat exchanger was modelled as a nonlinear system with interval parametric uncertainty. The set point tracking...

متن کامل

Mini/Micro-Grid Adaptive Voltage and Frequency Stability Enhancement Using Q-learning Mechanism

This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

متن کامل

Improving Heat Transfer Efficiency in Heating Ventilation and Air Conditioning Systems Using a Robust Fuzzy PID Controller

High levels of measurement noise, nonlinear and non minimum phase, and conflicting performance requirements pose challenging problems for improving heat transfer efficiency and flow control in HVAC systems. This paper extends the theoretical development of the Energy Delivery Efficiency (EDE) concept to include supply air latent effects and economizer operation, defines how ideal HVAC systems s...

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 2010