Patent pending

For high-speed, highly accurate
continuous feeding of powder and dry solids

AD-4826

Model predictive feeder controller

AD-4826-30G/200G/500G
Vibratory feeder

http://www.aandd.jp

Model predictive feeder controller
ideal for control optimizationn n n n n n n nn Equipped with model predictive control technology making more superior
performance possible compared with PID control
n Auto tuning function enables simple setting of control parameters
n Applicable for both nonlinear controlled objects and linear controlled objects
n Stable control for minimizing energy loss and deterioration of actuatorn Equipped with disturbance (vibration) cancellation functionn Map-based control function allows for accurate continuous feeding during
refilling of materialsn GUI screen permits simple and intuitive operationn Simultaneous control of up to 4 feeders possiblen Application of model predictive control to existing screw feeders,circle feeders, table feeders, etc. possible

AD-4826
Model predictive feeder controller

AD-4826-30G
AD-4826-200G
AD-4826-500G
500G

200G

30G

Vibratory feeder

Model predictive loss-in-weight controller / Vibratory feeder n n nModel predictive controlModel predictive control is a method of process control to determine amanipulated variable, which enables a process variable to reach a set point bypredicting future moves in a process using models of the controlled object’s
behavior. The internal model is used to predict if any deviation from the set point
will occur in the immediate future when process control is continued with thecurrent manipulated variable. If a deviation is predicted, an adjusted manipulated
variable is output and sent to the controlled object. Unlike PID control which
implements a correction after a control deviation occurs, model predictive control
predicts a deviation in advance using a model of the system’s behavior to enablestable process control while avoiding hunting (unstable movement). The greatest
advantages of model predictive control are process control stability, disturbance
cancellation function, improved response to changes and improved set point
following capability, as well as a high tolerance to the influence of changes in aprocess.
Model predictive control can be applied to a process that is too difficult to control
with general PID control. Its stable control enables improvement of maintenanceproductivity by minimizing energy waste and excess load on the driving part.

Model predictive controller
DisturbanceInternal modelSet point
value (SV)Manipulated
variable (MV)

AdjusterProcessvariable (PV)

Controlled
objectDisturbance cancellation

Auto-tuning function for controlled object modeling
Gross weight
Flow rate(change in weight)

Manipulated
variable

Gross (g)MV (v)

g/sec

Setting of the AD-4826 control parameters is not difficult. It uses its
auto-tuning function to automatically model the behavior of a controlled
object and controls the process using the model. Auto tuning is also very
simple. Just connect the AD-4826 controller to a feeder, start feeding with amaterial and then implement the 4 steps of the step response method
during the feeding process to obtain dead time plus first-order lag elements
as transfer function. The AD-4826’s auto-tuning function and control
function apply to a linear system as well as to a nonlinear system, which is
too difficult to control with PID control.
This auto-tuning function requires no special techniques and enables easymodeling of a controlled object in a short period of time.

Time (sec)

Stable control minimizing energy loss
and deterioration of actuator
Gross weightMV (v)

Flow rate
Set point

Gross (g)Since PID control implements the correction of a manipulated variable after
the occurrence of a control deviation, there is a large amount of change inthe manipulated variable as well as in the process variable. Therefore, with
PID control, the extra load acts upon the actuator and causes energy loss.
On the other hand, model predictive control can provide stable control,
minimizing hunting (unstable movement) to improve energy efficiency andoffers excellent maintenance productivity.

g/sec

n n n nManipulated
variableTime (sec)Electromagnetic feeder model predictive control

Time (sec)Electromagnetic feeder PID control

n n n n n n nDisturbance (vibration) cancellation function
When the AD-4826 detects a disturbance (vibration) during continuous feeding, its disturbance (vibration) cancellation function works to cancel theinfluence of this disturbance (vibration). It promises stable continuous feeding by preventing a feeding outage, which is caused by disturbance, as well as
an excess increase or decrease in flow rate.

Map-based control function for continuous
feeding during refilling
Feeding

Refilling

Feeding

Refilling

Feeding

Refilling

Feeding

Refilling

Gross weight
Flow rate

Manipulatedvariable

Gross (g)MV (v)(change in weight)

g/sec

To continue continuous feeding, it is necessary to refill the feeder withmaterial when its content is reduced. The AD-4826 is equipped with a
map-based control function to allow the feeder to be refilled duringcontinuous feeding.
The map-based control function stores in memory plotted data of thecorrelation between manipulated variables and weight values, which
are measured during continuous feeding, to accurately control themanipulated variables while checking weight values with the weight
sensor when refilling the feeder.
Therefore, the AD-4826 enables highly accurate continuous feeding
even while the feeder is being refilled.

Time (sec)Controlling up to 4 feeders
The AD-4826 controller can be connected to up to 4 feeders for individual control.

Model predictive feeder controller applicable for existingscrew feeders, circle feeders, table feeders, etc.
The AD-4826 can implement model predictive control with a screw feeder, circle feeder, table feeder or rotary feeder that has been controlled with PID control.

GUI screen allowing intuitive operation

Continuous feeding control modemenu screen

Batch feeding control modemenu screen

Continuous feeding control mode
operation screen

Batch feeding control mode
operation screen

Feeder number
Start/Stop
control button

Flow rate indicator

Net weight indicator

Gross weightindicator

Target flow ratesetting box

Target weight
setting box

Manipulative variableindicator

Accumulation
value indicator

MV manual settingbutton

To display the trend
graph screen

To display the feeder
limit setting screen

To display the continuous
Feeders 1-4
display selection feeding setting screen

Trend graph screen

Auto tuning screen
Gross weight
Flow rate
Target flow rate
Manipulative variable

Feeders 1 – 4 operation screensContinuous/Batch feeding control
selection screen

Feeder controller specifications
AD-4826

ModelCPU

SH4

OS

RTOS

SDRAM

64MB

Compact flash memory

64MB
4Option slots
Display

5.7 inch STN color liquid crystal
Backlight luminance half life: 75,000 hours typ.
Touch panel: Analog film

Standard interface

Serial interface: Full duplex RS-232C/ full duplex RS-485 switchUSB1.1 port
LAN 10Base-T
Non-polar semi-conductor relay (controller startup status output)
AC85V – 250V, 50/60Hz, approx. 30VA

Power

0 - 40°C

Ambient temperature

192 x 144 x 191mm (including protruding part)

External dimensions (WxHxD)

Load cell input specifications
0.15µV/D or over

Input sensitivity

0mV – 25mV

Zero adjustment range
Load cell applied voltage

4.75 – 5.25V
Built-in remote sensing function
Up to 8 load cells (350Ω) can be connected to a channel.
(If 4 load cell input modules are installed on a slot, up to 4 load cells can be connected to a channel.)

Zero point: ±0.1µV/°C max.

Temperature coefficient

Span: ±8ppm/°C max.
±20ppm max.

Nonlinearity±37mV min.

Measuring range

24 bit delta sigma method

A/D conversion method

Approx. 5,700,000 counts

Internal resolution

Approx. 1,000,000 counts per 1mV/V

Maximum display resolution

6.25 - 1920 times /second

Sampling rate

External input/output boards specifications
AD-4820-01
Analog input interface board

AD-4820-02 (Load cell input)

Applicable modules(4 modules can be installed on a board)

AD-4820-10
Standard I/O board
AD-4820-14
Analog output interface board

32 standard digital input points, 32 open collector output points,
2 pulse input points
AD-4820-15 (4 – 20mV output)
2 channels per module

Applicable modules

AD-4820-16 (0 – 10V output)
2 channels per module(4 modules can be installed on a board)Vibratory feeder AD-4826-30G/200G/500G
Model

30G

200G

500G

Maximum capacity

30g

200g

500g

Minimum display

0.01g

0.1g

0.1g

Flow rate setting range

0.1g – 4g / sec.

1.0g – 30g / sec.

5.0g – 40g / sec.

Batch accuracy (standard deviation)±0.02g or less

±0.2g or less

±0.6g or less

The batch accuracy is the results obtained in a 5-second batch feeding of alumina powder (#100).

...Clearly a Better Value

Attention to safety!
● Please be sure to read the instruction manuals carefully before use.

3-23-14 Higashi-lkebukuro, Toshima-ku,Tokyo 170-0013 JAPAN
Telephone:[81](3) 5391-6132 Fax:[81](3) 5391-6148
http://www.aandd.jp*Appearance and/or specifications subject to change for improvement without notice.

Contents of this catalogue last updated November 2007.

*AD4826-ADCC-01-PR1-07b03