Heuristic algorithms based optimal tuning of FOLQI controller for quadruple tank process under disturbance conditions

Design of centralised disturbance rejection controllers for an highly interacting MIMO quadruple tank process is tedious. Recently, Fractional Order LQI (FOLQI) controller designed such system to meet the desired specifications with better performance than various that are available in literature. In this paper, optimisation problem formulated obtain optimal parameters FOLQI providing minimum control effort by applying widely used heuristic methods like Cuckoo Search (CS), Accelerated Particle Swarm Optimisation (APSO) and FireFly (FF) algorithms. A detailed simulation study carried out compare Integer (IOLQI) obtained these algorithms under parameter uncertainty conditions. From it inferred (i) provides time domain % M p , t s J comparison IOLQI (ii) FF tuned provide robustness characteristics compared CS APSO controllers.