Who's on line

We have 56 guests and no members online

Mancin Company

For more than 20 years Mancin Automation develops software for process monitoring, control of machines and plants. 

We are specialized in solutions for the management of data acquisition, process report production, inventory management, data collection, maintenance procedure, tracking and tracing of products, etc ...

Depending on the application and the need of our clients, we realize projects using SCADA HMI commercial and / or directly by writing native code in C / C + +, VB, Java and interfacing with automation DLL and / or OPC server for providing access to operator with all the information produced by the control system. We know many software environments like Siemens, Progea, etc...

 

Our projects can then be applied to the operating units of various brands and/or industrial PCs, creating interfaces directly to Windows operating systems and/or creating web pages for live viewing on your browser without the need to install API, leaving our customers to use hardware and operating system alternative to Windows, such as Linux and others.

In mission critical process control we use Microsoft SQL database. HACCP and GMP SCADA applications use MOvicon by Progea, a GAMP 5 redy to use environment.

Mancin Top Projects and Innovation

With a constant focus on technological innovation Mancin Automation evaluate, design and build the best solution for the machine according to the characteristics of the plant, its location and the needs of the customer. Our strength lies in the integration of the latest technology with over twenty years experience in factory automation.
We can offer the automation on the machine by traditional methods (direct cabling or barbed components) or by using the most suitable field bus such as Profibus, Profinet, DeviceNet, CANopen, AS-Interface ASI or conversing via Ethernet and with the production equipment or with Office application via data cable or wireless solutions.


Industrial Automation is a discipline that includes knowledge and expertise from various branches of engineering including electrical, electronics, chemical, mechanical, communications and more recently computer and software engineering. Automation & Control by its very nature demands a cross fertilization of these faculties.
Industrial Automation Engineers have always drawn new technologies and implemented original or enhanced versions to meet their requirements. As the range of technology diversifies the demand on the innovative ability of these Engineers has increased.

Society in its daily endeavours has become so dependent on automation that it is difficult to imagine life without automation engineering.

Process Control

Most basic process control systems consist of a control loop as shown in the figure.
This has four main components which are:

  • A measurement of the state or condition of a process
  • A controller calculating an action based on this measured value against a pre-set or desired value (set point)
  • An output signal resulting from the controller calculation which is used to manipulate the process action through some form of actuator
  • The process itself reacting to this signal, and changing its state or condition
 

Two of the most important signals used in process control are called

  • Process Variable or PV
  • Manipulated Variable or MV

In industrial process control, the Process Variable or PV is measured by an instrument in the field and acts as an input to an automatic controller which takes action based on the value of it. Alternatively, the PV can be an input to a data display so that the operator can use the reading to adjust the process through manual control and supervision.

The variable to be manipulated, in order to have control over the PV, is called the Manipulated Variable. If we control a particular flow for instance, we manipulate a valve to control the flow. Here, the valve position is called the Manipulated Variable and the measured flow becomes the Process Variable.

Principles of Control Systems

To perform an effective job of controlling a process, we need to know how the control input we are proposing to use will affect the output of the process. If we change the input conditions we need to know the following:

  • Will the output rise or fall?
  • How much response will we get?
  • How long will it take for the output to change? .
  • What will be the response curve or trajectory of the response?

The answers to these questions are best obtained by creating a mathematical model of the relationship between the chosen input and the output of the process in question. Process control designers use a very useful technique of block diagram modeling to assist in the representation of the process and its control system. The following section introduces the principles that should apply to most practical control loop situations.
The process plant is represented by an input/output block as shown in the figure.

 

Tuning of Closed Loop Control

There are often many and sometimes contradictory objectives, when tuning a controller in a closed loop control system. The following list contains the most important objectives for tuning of a controller: Minimization of the integral of the error : The objective here is to keep the area enclosed by the two curves, the SP and PV trends; to a minimum.


No overshoot at start up: The most critical time for overshoot is the time of start up of a system. If we control an open tank, we do not want the tank to overflow as a result of overshoot of the level. More dramatically, if we have a closed tank, we do not want the tank to burst. Similar considerations exist everywhere, where danger of some sort exists.

Copyright

We use cookies to improve our website and your experience when using it. Cookies used for the essential operation of the site have already been set. To find out more about the cookies we use and how to delete them, see our privacy policy.

I accept cookies from this site.

EU Cookie Directive Module Information