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| Title: | PARTICLE SWARM OPTIMIZATION BASED PI CONTROLLER TUNING FOR FERMENTATION PROCESS | |
| DOI No: | 10.1142/9781860948534_0061 | |
| Source: | INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 387-389) | |
| Author(s): | K. VALARMATHI
A. K. College of Engineering, Anand Nagar, Krishnankoil, Tamilnadu, India D. DEVARAJ A. K. College of Engineering, Anand Nagar, Krishnankoil, Tamilnadu, India T. K. RADHAKRISHNAN National Institute of Technology, Trichirappalli, Tamilnadu, India |
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| Abstract: | The activities related to Fermentation process are uncertain and nonlinear in nature. It poses many challenging characteristics like multivariable interactions, unmeasured state variables and time varying parameters. Proportional Integral Derivative control is a control strategy that has been successfully used over many years for the fermentation process. It has been noticed that PID controllers are often poorly tuned. The Ziegler Nichols tuning method is designed to give good response but not satisfactory for many systems, because the systems are very sensitive to parameter variations. Additionally, ZN methods are not easy to apply in their original form on working plants. To overcome this problem Particle Swarm Optimization Technique has been proposed to tune the optimal values of PI constants. The performance of these controllers is compared on the settling time and Mean Square Error for various set point and trajectory response of the fermentation process with traditional tuning method. | |
| Full Text: | View full text in PDF format (151KB) | |
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