NIYANTRA Documents
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Contact Information
Name of the College : Pandit Deendayal Petroleum University
Name of the Team Members along with their respective current semester : Rahul Misra (sem-7), Saruch Rathore (sem-7), Brijesh Nanavati (sem-7), Dhirendra Raghuwanshi (sem-5)
E-Mail Address & Phone Number of the Team Leader : rahul.misra.x1@gmail.com +91 9998551935
Name of the Faculty Guide : Mr Nishant Parikh
E-Mail Address & Phone Number of the Faculty Guide : nishant.parikh@spt.pdpu.ac.in; +91 9825549973
Project Information
Project Title: An Improved, Direct Approach of Closed-loop Identification of Industrial Processes – Mathematical Analysis and Experimental Verification
Hardware & Software Used: Single Board Heater System (SBHS), LabVIEW and MATLAB
What challenge/problem are you trying to solve through your application:
In the direct method of closed-loop identification, a consistent plant model can only be identified if also the full noise model is estimated consistently due to induced correlation between manipulated inputs (controller manipulated input) and external noises resulted from feedback. The closed-loop identification does not allow the manipulated variable perturbations and therefore, the richness in the input-output data is lacking in this case. Thus, the key problems can be summarized as follows:
-Lack of informative data due to presence of controllers
-Bias error in estimation resulting due to correlations between plant input and
noise signals induced due to feedback
How does your application solves the above mentioned challenge/problem:
We are proposing to use the nonlinear controller (that results for example when a model based controller is constrained) which helps in minimizing bias errors resulting from input-noise correlation and facilitates the use of the direct method of closed-loop identification. The problem of lack of informative data is a key problem which arises due to the presence of closed-loop. This problem is overcome via the use of a dither signal applied either at the controller output or at the setpoint. The dither signal needs to be carefully designed and implemented to balance the requirements of minimum closed-loop variability as well as richness for identification.
Description of Project:
The proposed work focuses on improvement of closed-loop system identification method (especially direct approach) to determine the dynamics of a given process. During the past two decades, identification of systems operating in closed-loop has been of prime interest in industrial applications due to the fact that the security or economical (production) reasons do not permit regulators to be removed during identification experiment. Another important reason for identifying such direct models has been towards obtaining reduced order models with a view to achieve better control. Beyond this lies the attractive idea of being able to improve the closed-loop performance continually by making use of data being collected from a working loop. It has also been claimed in the literature that data collected from a closed-loop operation better reflect the actual situation in which the developed model will be used, and therefore could yield better overall results. The closed-loop identification method can be classified into three broad categories: The direct, the indirect and the joint input-output approach. In the direct approach, measurements of the plant input and output are used to build a model for the open-loop system directly, as in open-loop identification. The main advantage of the direct method is that the controller identity needs not to be known. However, the correlation induced by the feedback can cause additional problems. In this work, our emphasis is to improve
the traditional direct method of closed-loop identification.
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