Tempco TEC-9090 Instruction Manual

Instruction Manual

TEC-9090
Self-Tune Fuzzy / PID Process
Process Temperature Controller

Serving Industry Since 1972

TEMPCO Electric Heater Corporation
607 N. Central Avenue • Wood Dale, IL 60191-1452 USA
Tel: [phone] • Toll Free: 800-323-6859
Fax: [phone] • E-mail: [e-mail]
Web: www.tempco.com

Manual TEC-9090 Revision 10/2014

NOTES

NOTE:

It is strongly recommended that a process should
incorporate a LIMIT CONTROL like TEC-910
which will shut down the equipment at a preset
process condition in order to preclude possible
damage to products or system.

Information in this user's manual is subject to change
without notice.

Contents

Page No.

Chapter 1 Introduction 1

Chapter 2 Ordering Code 2
Chapter 3 Front Panel Description 3

Chapter 4 Input Range & Accuracy 3

Chapter 5 Specifications 4
Chapter 6 Installation

6-1 Dimensions and Panel Cutout 5
6-2 Wiring Diagram 5

Chapter 7 Calibration 6
Chapter 8 Operation

8-1 Keypad Operation 6
8-2 Flow Chart 7
8-3 Parameter Description 7
8-4 Automatic Tuning 8
8-5 Manual PID Adjustment 8
8-6 Manual Tuning Procedure 9
8-7 Ramp and Dwell 9

Copyright © 2014, Tempco Electric Heater
Corporation, all rights reserved. No part of this publi­cation may be reproduced, transmitted, transcribed or
stored in a retrieval system, or translated into any lan­guage in any form by any means without the written
permission of Tempco Electric Heater Corporation.

Figures & Tables

Page No.

Figure 1.1 Fuzzy Control Advantage 1
Figure 3.1 Front Panel Description 3
Figure 6.1 Mounting Dimensions & Panel Cutout 5
Figure 6.2 Wiring Diagram 5
Figure 8.1 Manual Tuning Procedure 8
Figure 8.2 Ramp and Dwell Example 10
Table A.1 Error Codes and Corrective Actions 11

Appendix

Warranty 11
Returns 11

NOTES

Chapter 1 Introduction

This manual contains information for the installation
and operation of the Tempco model TEC-9090 fuzzy
logic microprocessor based controller.

Fuzzy logic is an essential feature of this versatile
controller. Although PID control has been widely
accepted by many industries, it is difficult for PID
control to work efficiently with some sophisticated
systems, such as second order systems, systems with
long time-lag, varying set points, varying loads, etc.
Because of the disadvantages of the controlling prin­ciples and fixed values of PID control, it is inefficient
when controlling systems with a lot of variables, and
the result is below expectations for some systems.
Fuzzy logic control can overcome these disadvan­tages of PID control. The function of fuzzy logic is to

adjust the PID values indirectly in order to make the
manipulation of output value MV adapt flexibly and
quickly to varying processes. In this way, it enables a
process to reach its predetermined set point in the
shortest amount of time with minimum overshooting
during tuning or external disturbance. Unlike PID
control which uses digital information, fuzzy logic
uses language information.

In addition, this instrument has the functions of single
stage ramp and dwell, auto-tuning, and manual mode
execution. It is also easy to use.

1