2DOF PID Controller Design for a Class of FOPTD Models–An Analysis with Heuristic Algorithms

Abstract

In recent years, a number of controller design procedures are developed and implemented in process industries to enhance the performance of closed loop processes. In this paper, heuristic algorithm based Two Degrees Of Freedom (2DOF) PID controller design is proposed for a class of First Order Plus Time Delay (FOPTD) systems existing in the literature. Minimization of the weighted sum of multiple objective functions is considered to monitor the heuristic search towards the optimal controller parameters. A detailed comparative analysis between well known heuristic methods, such as Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO), Cuckoo Search (CS) and Firefly Algorithm (FA) are presented. The popular 2DOF PID structures, such as Feed Back Structure (FBS) and Feed Forward Structure (FFS) are considered in this work to enhance the performance of FOPTD systems. From the results, it is noted that, proposed controller provides enhanced results for the reference tracking and disturbance rejection operations.

Application of soft computing technique in the modelling and prediction of gold and silver rates

“…Particle Swarm Optimization (PSO) algorithm, developed by Kennedy and Eberhart [10], is a global optimization technique developed with the inspiration of natural activities in flock of birds and school of fish, and is generally applied in a range of engineering problems due to its high computational competence [11][12][13].…”

“…A detailed description about the linear and non-linear forecasting approaches is existing in the literature [9]. A detailed description about the PSO algorithm and its various applications can be found in literature [10][11][12][13].…”

“…The accuracy of the traditional procedure mainly depends on the adopted method and sometimes it is very difficult to attain the optimal result due to its practical constraints. From the recent literature, it can also be noted that, heuristic algorithm based approaches are widely adopted to solve a variety of optimization problems [10][11][12][13]. In this work, we proposed Particle Swarm Optimization (PSO) assisted by ARIMA and B-J modelling approaches to model the gold and silver prices.…”

Active Current Sharing of a Parallel DC-DC Converters System Using Bat Algorithm Optimized Two-DOF PID Control

“…In contrast to the conventional 1PID controller with an only feedforward control path C f (s), a feedback control path C b (s) is added to the FB2PID controller to simultaneously improve the control precision and disturbance rejection ability as illustrated in FIGURE 7. The transfer functions C fk (s) and C bk (s) of the FB2PID controller in the k th inner current control loop are formulated as follows [31]:…”

“…However, finding and tuning these control gains are complicated optimization problems. At present, several strategies were proposed to tune these control parameters automatically such as the simple method [27], robust tuning [28], and evolutionary algorithms (EAs) [25], [29]- [31].…”