CRONE Control Strategy for Air Pressure System
V.Velmurugan1, N.N.Praboo2

1V.Velmurugan*, Assistant Professor, Department of EIE, Arunai Engineering College, Tamil Nadu, India.
2Dr.N.N.Praboo, Assistant Professor, Department of EIE, Annamalai University, Tamil Nadu, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 02, 2020. | Manuscript published on April 10, 2020. | PP: 966-971 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4036049620/2020©BEIESP | DOI: 10.35940/ijitee.F4036.049620
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Abstract: Pressure process in industry is inevitable and is considered with foremost importance in many processes like boilers, pressure vessels, reactors, closed vessels, steam drums and flash points. Pressure measurement and control is important requirements of all process, since it is related to safety of the human resources and equipment. So in this work an Air Pressure System (APS) is considered for investigation. Over the years an increasing attention made on fractional order controller and dynamic systems using fractional order calculus. Its theoretical and practical interests have been confirmed today, and its relevance to engineering society can be think carefully about as developing scientific avenue. This project discusses the design and implementation of generations of CRONE controller for APS. The Mathematical model of APS is determined from the various operating regions by using worst case modeling technique. The three generations of the strategy of CRONE control are designed based on worst case model. Simulation runs of set point tracking responses are documented. The time domain and integral error indices performances are obtained and compared on strategies of the generation CRONE controller. It is noticed that Third Generation CRONE (TGC) controller outperforms provide better performance than the other generations of CRONE controller. 
Keywords: CRONE Controller, Air Pressure System, Control System Design (CSD), FGC, SGC, TGC, Black Locus, Non Linear Optimization.
Scope of the Article: Discrete Optimization