PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation

Application of the Robust Fixed Point Iteration Method in Control of the Level of Twin Tanks Liquid

“…To optimize the PID parameters of dual fluid tanks system controller,a design methodology using Particle Swarm Optimization (PSO), was proposed and it was claimed that this method provides efficient results in comparison to the genetic algorithm-based method in a shorter and better time resolution [1]. To implement an improved neural network-based approximation Dynamic Programming named Action-Depended Dual Heuristic Dynamic Programming (ADDHP) was viably used by omitting the model network completely in [16]. The proposed method successfully provided the results where only the use of the states of the present and previous time steps were considered to calculate the derivatives of the performance function by avoiding the prediction of the states of the next time step.…”