| |
AD4826
Model predictive feeder controler |
|
| |
|
 |
|
|
For high-speed, highly accurate
continuous feeding
of powder and dry solids
|
|
500G 200G 30G |
|
|
|
|
|
|
Features |
|
 Equipped with model predictive control technology making more superior
performance possible compared with PID control
Auto tuning function enables simple setting of control parameters
Applicable for both nonlinear controlled objects and linear controlled objects
Stable control for minimizing energy loss and deterioration of actuator
Equipped with disturbance (vibration) cancellation function
Map-based control function allows for accurate continuous feeding during
refilling of materials
GUI screen permits simple and intuitive operation
Simultaneous control of up to 4 feeders possible
Application of model predictive control to existing screw feeders,
circle feeders, table feeders, etc. possible
|
|
Model predictive loss-in-weight controller / Vibratory feeder |
|
Model predictive control |
| |
Model predictive control is a method of process control to determine a
manipulated variable, which enables a process variable to reach a set point by
predicting 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 the
current manipulated variable. If a deviation is predicted, an djusted 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 enable
stable 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 a
process.
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 maintenance
productivity by minimizing energy waste and excess load on the driving part. |
|
| |
|
| |
Auto-tuning function for controlled object modeling |
| |
| 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 a
material 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 easy
modeling of a controlled object in a short period of time. |
 |
|
| |
|
| |
Stable control minimizing energy loss and deterioration of actuator |
| |
| Since PID control implements the correction of a manipulated variable after
the occurrence of a control deviation, there is a large amount of change in
the 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 and
offers excellent maintenance productivity. |
 |
|
| |
|
| |
Disturbance (vibration) cancellation function |
| |
When the AD-4826 detects a disturbance (vibration) during continuous feeding, its disturbance (vibration) cancellation function works to cancel the
influence 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 |
| |
| To continue continuous feeding, it is necessary to refill the feeder with material when its content is reduced. The AD-4826 is equipped with a map-based control function to allow the feeder to be refilled during continuous feeding.
The map-based control function stores in memory plotted data of the correlation between manipulated variables and weight values, which are measured during continuous feeding, to accurately control the
manipulated 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. |
 |
|
| |
|
| |
Controlling up to 4 feeders |
| |
 |
| |
|
| |
Model predictive feeder controller applicable for existing
screw 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 (PDF 158KB) |
| |
|
| |
|
| |
|
| |
|
|
Specifications |
| |
Feeder controller specifications |
|
| Model |
AD-4826 |
| CPU |
SH4 |
| OS |
RTOS |
| SDRAM |
64MB |
| Compact flash memory |
64MB |
| Option slots |
4 |
| 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 switch
USB1.1 port
LAN 10Base-T
Non-polar semi-conductor relay (controller startup status output) |
| Power |
AC85V – 250V, 50/60Hz, approx. 30VA |
| Ambient temperature |
0 - 40°C |
| External dimensions (WxHxD) |
192 x 144 x 191mm (including protruding part) |
|
|
|
| |
Load cell input specifications |
| |
| Input sensitivity |
0.15μV/D or over |
| Zero adjustment range |
0mV – 25mV |
| Load cell applied voltage |
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.) |
| Temperature coefficient |
Zero point: ±0.1μV/°C max.
Span: ±8ppm/°C max. |
| Nonlinearity |
±20ppm max. |
| Measuring range |
±37mV min. |
| A/D conversion method |
24 bit delta sigma method |
| Internal resolution |
Approx. 5,700,000 counts |
| Maximum display resolution |
Approx. 1,000,000 counts per 1mV/V |
| Sampling rate |
6.25 - 1920 times /second |
|
| |
|
| |
External input/output boards specifications |
| |
Analog input interface board
(4 modules can be installed on a board) |
Applicable modules |
AD-4820-02 (Load cell input) |
AD-4820-10
Standard I/O board |
32 standard digital input points, 32 open collector output points,
2 pulse input points |
AD-4820-14
Analog output interface board
(4 modules can be installed on a board) |
Applicable modules |
AD-4820-15 (4 – 20mV output)
2 channels per module
AD-4820-16 (0 – 10V output)
2 channels per module |
|
| |
|
| |
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 |
|
| |
|
| |
|
| |
|
| |
|
