Honeywell DCP200 manual Bias Manual Reset

Models: DCP200

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DCP200 Profile Controller & Recorder - Product Manual

Bar Graphs

The instrument displays a bar-graph in the base operation mode screen. These can show PID Power Output (single control = uni-directional, dual control = bi-directional), Control Deviation (bi-directional) or for Data Recorder version %Memory Used (uni-directional). Bar- graphs are uni-directional or bi-directional depending on the information to be displayed.

Also refer to: Control Deviation, Data Recorder, Display Configuration, Operation Mode, Main Menu and PID

Bias (Manual Reset)

Used to manually bias proportional output(s) to compensate for control deviation errors due to process load variations. Bias is expressed as a percentage of output power. This parameter is not applicable if the Primary output is set to ON-OFF control. If the process variable settles below setpoint use a higher Bias value to remove the error, if the process variable settles above the setpoint use a lower Bias value. Integral action performs a similar

function automatically when using PI or PID control.

 

Lower Bias values will also help to reduce overshoot at process start up.

 

Settings = 0 to 100% (-100% to +100% for dual control).

Default value = 25%.

Also refer to: Control Deviation, Integral Action, ON/OFF Control, PI Control, PID, Proportional Control, Process Variable, and Setpoint.

Bumpless Transfer

A method used to prevent sudden changes to the correcting variable, when switching between automatic PI or PID and Manual control modes. During a transition from PI or PID to Manual control, the initial Manual Power value is set to the previous automatic mode value. The operator then adjusts the value as required. During a transition from Manual control to PI or PID, the initial automatic value is set to the previous Manual mode value. The correcting variable level will gradually adjusted by the control algorithm at a rate dependant on the integral action resulting from the Integral Time Constant value. Since integral action is essential to Bumpless Transfer, this feature is not available if Integral is turned off.

Also refer to: Correcting Variable, Integral Action, Manual Mode, PI and PID.

Cascade Control

Applications with two or more capacities (such as heated jackets) are inherently difficult for a single instrument to control, due to large overshoots and unacceptable lags. The solution is to cascade two or more controllers, each with its own input, in series to form a single regulating device. The product setpoint temperature is set on the master controller. This is compared to the product temperature, and the master’s PID output (mA or VDC) is fed into the auxiliary input of the slave controller as a remote setpoint input. The RSP is scaled to suit any expected temperature. The slave loop’s natural response time should ideally be at least 5 times faster than the master.

In the example, the maximum input represents 400ºC, thus restricting the jacket temperature. At start-up the master compares the product temperature (ambient) to its setpoint (300ºC) and gives maximum output. This sets the maximum (400ºC) setpoint on the slave, which is compared to the jacket temperature (ambient) giving maximum heater output.

51-52-25-150, Issue 1 – April 2009

Glossary

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Honeywell DCP200 manual Bias Manual Reset

DCP200 specifications

The Honeywell DCP200 is an advanced distributed control platform designed to enhance efficiency, reliability, and flexibility in industrial automation. With a robust architecture capable of supporting a wide range of applications, the DCP200 is perfect for sectors including oil and gas, chemical processing, power generation, and manufacturing.

One of the key features of the Honeywell DCP200 is its scalability. It can be easily expanded to accommodate increasing demands, making it suitable for both small operations and large enterprises. This flexibility allows industries to adopt the system gradually, integrating it into their existing processes without substantial downtime or a steep learning curve.

The DCP200 is built on open standards, facilitating seamless integration with third-party systems and equipment. This compatibility ensures that companies can leverage existing infrastructures and investments, fostering a more cohesive operational environment. Enhanced interoperability is achieved via industry-standard communication protocols, enabling devices to communicate fluently across diverse platforms.

Another significant characteristic of the DCP200 is its powerful data acquisition and processing capabilities. The system utilizes state-of-the-art data analytics tools to monitor real-time information, enabling better decision-making and predictive maintenance. This proactive approach helps in reducing downtime, optimizing performance, and ultimately driving operational excellence.

The DCP200 system supports a wide range of input and output options, ensuring it can interface with various sensors, actuators, and control devices. This adaptability contributes to its function as a central hub for industrial monitoring and control, enhancing data visibility and operational responsiveness.

Security is a top priority for Honeywell, and the DCP200 employs robust cybersecurity measures to protect critical infrastructure. The system includes advanced authentication protocols and data encryption techniques, safeguarding sensitive information from unauthorized access and potential cyber threats.

User experience is also a focal point of the DCP200. The platform features an intuitive graphical user interface that simplifies navigation and enhances operator engagement. Customizable dashboards provide at-a-glance insights into system performance, aiding both operators and management in identifying areas for improvement.

In conclusion, the Honeywell DCP200 is an innovative distributed control platform that marries flexibility, scalability, and security. With its comprehensive feature set and commitment to seamless integration, it stands as a vital tool for companies aiming to enhance their automation efforts and drive operational success in an increasingly complex industrial landscape.