XMFA-5000 Intelligent Servo Control PID Regulator

NegotiableUpdate on 09/15

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Nature of the Manufacturer: Producers

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Overview

The XMFA-5000 intelligent servo control PID regulator produced by our company adopts a self-developed and customized specialized integrated circuit produced by a Japanese integrated circuit manufacturer. It not only integrates most of the functions of various regulating instruments in the current automatic control system, but also integrates circuits such as CPU, I/O interface, EPROM, and D/A conversion. With a software system that draws on diverse strengths, carefully compiles, and repeatedly debugs, you can easily handle the production process, such as the wingarm finger

Product Details

The products produced by our companyXMFA-5000 Intelligent Servo Control PID RegulatorWe have independently developed and commissioned Japanese integrated circuit manufacturers to customize the production of specialized integrated circuits. It not only gathers most of the functions of various regulating instruments in current automatic control systems, but also integrates circuits such as CPU, I/O interface, EPROM, and D/A conversion. Coupled with a software system that draws on diverse strengths, carefully compiles, and repeatedly debugs, it can make you feel at ease in the production process, such as wing arm fingers. Moreover, this product is no longer just a simple inspection instrument in the past, but has satisfactory performance in processing capabilities such as computation, comparison, execution, and alarm.

Function
1. Twenty plus input signal options.
2. Multiple displays including process quantity, given value, control quantity, valve position feedback quantity, etc.
3. The measured value can be added or subtracted from the given value.
4. Servo control P I D regulator positive and negative action selection
5. The upper and lower limits of the control quantity can be set separately to output the control range.
6. The analog quantity of valve position feedback can calibrate the zero point and full degree.
7. 2 or 3 analog outputs are: 0-10mA, 4-20mA.
8. 8 alarm control modes to choose from.
9. Braking function with motor forward and reverse control. The valve position feedback fault can be output by a relay.
10. Input the switch quantity SB function to control the transfer of the given value.
11. Built in 4 1A bidirectional thyristor directly controls the electric actuator.
12. The measurement input signal can be square root and small signal cut off.
13. Power on automatically or manually, maintain the position or manually preset the power on position. Valve position feedback disconnection automatically enters manual mode (please specify when ordering)
14. It can achieve intelligent sound and light alarm with silencing time, intelligent timer or counter function.
15. P I D parameter self-tuning or P parameter independent self-tuning. 8 sets of set values and P, I, D parameter storage and retrieval.
16. Remote manual automatic status control. Remote control console hard manual operation; The control output of the remote switch quantity control regulator is in PID adjustment mode or in hard manual operation mode on the operating table, with bidirectional disturbance free switching; Remote servo PID regulator control mode or direct control mode by upper computer.
17. When the input signal fails in the direct control mode of the upper computer, it automatically switches to its own PID adjustment control mode; When directly controlled by the upper computer; Servo control
The PID regulator automatically tracks the input signal of the upper computer.
18. We can provide RS 4 8 5 asynchronous serial communication with multiple hosts, single host, and no host modes. Communication data verification follows the CRC-16 American data communication standard, with high reliability cycling and barcode verification.

● Panel indication

display mode	Instruction content
Single screen dual light pillar	Single screen: displaying input measurement signals, control quantities, or tracking quantities during measurement%Given the value, the display method is used▲Press the key selection button to alternately display prompts for setting parameters and parameters.
	light beam1Display the measurement signal of the main input in percentage form.
	light beam2Display the given value or control quantity in percentage form%Or valve position feedback quantity%Use the ▼ key to select the display mode.
Single screen three light pillar	Single screen and light pillar1Explain the indicated content in the dual light columns on the same single screen.
	light beam2Display the given value in percentage form; When the upper computer participates in control, the control quantity of the upper computer is displayed in percentage form.
	light beam3Display valve position feedback as a percentage.
Dual screen single light column	light screen1Display the input measurement signal during measurement; Display a prompt for setting parameters during setup.
	light screen2Display the given value or the calculation result between the measured value and the given value during measurement, and simulate the output or input of process variables%Control quantity or tracking quantity%The display method is used▲Key selection; Display control or tracking quantity in manual mode%When setting the status, display the set parameters.
	Light column: When green, it displays control or tracking quantities%When in red, it displays the process quantity valve position feedback quantity%When red and green are combined, the deviation between the measured value and the given value is displayed%Select the display mode using the key.
Dual screen dual light pillar	light screen1、2Explain the indicated content in the same dual screen single light column.
Dual screen dual light pillar	light screen1、2Explain the indicated content in the dual light columns on the same single screen.

Common PID mnemonics

1. Common mnemonics for PID:

Find the best parameter tuning by checking in order from small to large,
First proportional, then integral, and finally add the differential,
The curve oscillates frequently, and the proportional dial needs to be enlarged,
The curve floats around the big bay, and the proportional dial turns smaller,
The curve deviates and recovers slowly, and the integration time decreases,
The fluctuation period of the curve is long, and the integration time is further extended,
The oscillation frequency of the curve is fast. First, reduce the differentiation,
If the dynamic difference is large, the fluctuation will be slow, and the differentiation time should be extended,
The ideal curve consists of two waves, with a front high and a back low ratio of 4:1,

2. One look, two adjustments, and multiple analyses,

The engineering tuning of PID controller parameters can refer to the following empirical data of P.I.D parameters in various control systems: temperature T: P=20~60%, T=180~600s, D=3-180s, pressure P: P=30~70%, T=24~180s, liquid level L: P=20~80%, T=60~300s, flow rate L: P=40~100%, T=6~60s.

3. Principles and characteristics of PID control

In engineering practice, the most widely used regulator control laws are proportional, integral, and derivative control, abbreviated as PID control, also known as PID regulation.

The PID controller has a history of nearly 70 years, and it has become one of the main technologies in industrial control due to its simple structure, good stability, reliable operation, and easy adjustment. When the structure and parameters of the controlled object cannot be fully grasped or an accurate mathematical model cannot be obtained, and other techniques of control theory are difficult to adopt, the structure and parameters of the system controller must be determined by experience and on-site debugging. At this time, the application of PID control technology is the most convenient. When we do not fully understand a system and the controlled object, or cannot obtain system parameters through effective measurement methods, PID control technology is most suitable. PID control, in practice there are also PI and PD control. The PID controller calculates the control quantity based on the system error using proportional, integral, and derivative methods for control.

Proportional (P) control is the simplest control method. The output of its controller is proportional to the input error signal. When there is only proportional control, there is a steady-state error in the system output.

In integral control, the output of the controller is proportional to the integral of the input error signal. For an automatic control system, if there is a steady-state error after entering steady state, it is called a system with steady-state error or simply a system with steady-state error. In order to eliminate steady-state errors, an "integral term" must be introduced in the controller. The integral term for error depends on the integration of time, and as time increases, the integral term will also increase. In this way, even if the error is small, the integral term will increase with time, pushing the output of the controller to increase and further reducing the steady-state error until it reaches zero. Therefore, a proportional integral (PI) controller can ensure that the system has no steady-state error after entering steady state.

In differential control, the output of the controller is directly proportional to the differential of the input error signal (i.e., the rate of change of the error). Automatic control systems may experience oscillations or even instability during the adjustment process to overcome errors. The reason is that there are large inertia components (links) or delay components that have the effect of suppressing errors, and their changes always lag behind the changes in errors. The solution is to make the change in the effect of suppressing errors "ahead", that is, when the error approaches zero, the effect of suppressing errors should be zero. That is to say, introducing only the "proportional" term in the controller is often not enough. The role of the proportional term is only to amplify the amplitude of the error, while what needs to be added now is the "differential term", which can predict the trend of error changes. In this way, a controller with proportional+differential can make the control effect of suppressing errors equal to zero or even negative in advance, thereby avoiding serious overshoot of the controlled variable. Therefore, for controlled objects with significant inertia or lag, a proportional derivative (PD) controller can improve the dynamic characteristics of the system during the adjustment process.