Akademik Veri Yönetim Sistemi
Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications, Elsevier, ss.411-421, 2023
This chapter presents the promise and the procedure of the whale optimization algorithm-based controller design for efficient operation of an air-fuel ratio system. This system has a significant role in protecting the environment as it regulates the fuel consumption and prevents the lean combustion spark-ignition engines related harmful emissions. Thus, a control mechanism is of utmost requirement for the air-fuel ratio system. In this chapter, therefore, such a requirement is considered by also taking the time-delayed structure of the air-fuel system into account. In this regard, the whale optimization algorithm is employed as an efficient metaheuristic optimizer and a feedforward compensated proportional-integral controller is tuned to achieve an appropriate control of the air-fuel ratio system. Several different cost functions along with several other metaheuristic optimizers are used to perform comparative assessments. The comparative performance assessments using statistical, non-parametric, computational time, convergence curve, transient response, input signal tracking, disturbance rejection and robustness analyses demonstrate that the proposed whale optimization algorithm-based feedforward compensated proportional-integral controller provides more excellent performance for the control of the air-fuel ratio system.