@article{MAKHILLJEAS201914517551,
    title = {Design of PID Controller Using Internal Model Control Based Lambda
Tuning for an Industrial Blending Process},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {5},
    pages = {1486-1492},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.1486.1492},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.1486.1492},
    author = {Avani and},
    keywords = {blending system,process gain,lambda,processtime constant,FOPDT,dead-time,SISO,PID,IMC,integrating time,derivative time,proportional gain},
    abstract = {The proportional-integral-derivative controller is widely employed in process industries due to its
simplicity, reliability and ability to achieve major control objectives. The Internal Model Control (IMC) design
is a top-notch technique used for tuning these controllers for Single Input Single Output (SISO) systems with
dead-time. Filter constant, Λ is a very important concept in the IMC design and proper estimation of the
constant is fundamental. The following text studies the effect of varying the filter constant Λ from its ideal value
to extreme values and understands the system behaviour for the differing filter constants for first order plus
dead time model representing blending process. It was observed that improper estimation of Λ lead to unstable
systems, large overshoots and highly oscillatory response which are completely undesirable in any control
process. The inferences have been achieved with the aid of time domain analysis using MATLAB.}
    }