Identification model and PI and PID controller design for a novel electric air heater

Abstract

In this article, the software and hardware control architecture for a novel high-temperature three-phase electric air heating furnace is presented. It consists of a multiple-input singleoutput (MISO) nonlinear plant designed to heat air at flow rates in a range between 10 and 60 Nm 3 /h, from ambient temperature up to 1000 C. A divide-and-conquer (D&C) approach is applied. It consists in discretizing the air flow rates and working temperatures in intervals where the system behaviour is considered as single-input single-output (SISO) linear plant. Process identification techniques have been used to obtain empiric models for different operation ranges of the electric furnace. The controller parameters have been calculated using the Ziegler-Nichols tuning method. The resulting output air temperature control is composed of a set of 12 PI and PID controllers. The switch among controllers as a function of air flow rates and temperatures is carried out using programming logic and gain scheduling technique, respectively. The resulting multiple controller has been tested under real conditions and the results are presented and discussed.

CONVECTIVE DRYING KINETICS OF YACON (Smallanthus sonchifolius Poepp. Endl.) SLABS AND EVALUATION OF THE DRYER PID TEMPERATURE CONTROL SYSTEM

“…Additionally, increasing temperature intervals could be proposed for high air velocities while using PID control (Álvarez de Miguel et al, 2017).…”

“…However, it has some limitations associated with parameter tuning, timing systems, etc. (Álvarez de Miguel et al, 2017;Sungthong and Assawinchaichote, 2016).…”

Fractional order PD controller design for third order plants ıncluding time delay

“…For example, TOPTD models have been identified using a technique devised for the Hammerstein-Wiener process in [18]. For an electric air heater, a PI and PID controller design is used [19], the pressure of a steam boiler is controlled using a PI controller [20] and an analytical FOPI design scheme for TOPTD plants can be given [21]. PID controller design for high-order systems with time delay and parametric uncertainty using robust state feedback can be found in [22] and for a class of linear systems, an unique fractional order controller design algorithm is presented in [23].…”

Analytical Design of PI Controllers for Third Order Plus Time Delay Systems

“…Örnek olarak [1]'de, elektriksel iletkenlik modeli TOPTD bir transfer fonksiyonu ile ifade edilmiştir. [2]'de, bir hava ısıtıcının sistem cevabı üçüncü derece bir modele uydurulmuştur. TOPTD model ile ifade edilen Hammerstein-Wiener süreci [3]'te verilmiştir.…”