Genetic Algorithm Based PID Controller Tuning Approach for Continuous Stirred Tank Reactor. (23rd December 2014)

• Record Type: Journal Article
• Authors: Jayachitra, A.; Vinodha, R.
• Other Names: He Jun Academic Editor.
• Is Part Of: Advances in artificial intelligence. Volume 2014(2014)
• Publication Date: 2014-12-23
• Subjects: Artificial intelligence -- Periodicals; Artificial intelligence; Periodicals; Electronic journals; 006.3
• DOI: 10.1155/2014/791230
• Languages: English
• ISSNs: 1687-7470

Abstract

Abstract : Genetic algorithm (GA) based PID (proportional integral derivative) controller has been proposed for tuning optimized PID parameters in a continuous stirred tank reactor (CSTR) process using a weighted combination of objective functions, namely, integral square error (ISE), integral absolute error (IAE), and integrated time absolute error (ITAE). Optimization of PID controller parameters is the key goal in chemical and biochemical industries. PID controllers have narrowed down the operating range of processes with dynamic nonlinearity. In our proposed work, globally optimized PID parameters tend to operate the CSTR process in its entire operating range to overcome the limitations of the linear PID controller. The simulation study reveals that the GA based PID controller tuned with fixed PID parameters provides satisfactory performance in terms of set point tracking and disturbance rejection.