Abstract
In this investigation, self-learning salp swarm optimization (SLSSO) based proportional- integral-derivative (PID) controllers are proposed for a Doha reverse osmosis desalination plant. Since the Doha reverse osmosis plant (DROP) is interacting with a two-input-two-output (TITO) system, a decoupler is designed to nullify the interaction dynamics. Once the decoupler is designed properly, two PID controllers are tuned for two non-interacting loops by minimizing the integral-square-error (ISE). The ISEs for two loops are obtained in terms of alpha and beta parameters to simplify the simulation. Thus designed ISEs are minimized using SLSSO algorithm. In order to show the effectiveness of the proposed algorithm, the controller tuning is also accomplished using some state-of-the-art algorithms. Further, statistical analysis is presented to prove the effectiveness of SLSSO. In addition, the time domain specifications are presented for different test cases. The step responses are also shown for fixed and variable reference inputs for two loops. The quantitative and qualitative results presented show the effectiveness of SLSSO for the DROP system.
Highlights
The existence of civilization depends upon the availability of potable water
For fair presentation of efficacy of self-learning salp swarm optimization (SLSSO) algorithm, other algorithms namely, salp swarm optimization (SSO), artificial bee colony (ABC), LJ, Nelder–Mead simplex (NMS), sine cosine algorithm (SCA) and Particle swarm optimization (PSO) are applied to tune the PID controller
The results presented in this case study are obtained for pressure-flux loop by minimizing the performance index given in (19)
Summary
The studies are repeatedly indicating that the potable water is acutely depleted in the last few decades. The main reason for depletion of fresh water is overuse of ground water due to growing population and industrialization [1]. In order to meet the requirements due to increased population and industrialization, it is required to explore for sources of fresh water. The desalination of sea water is one of the possible solutions since the expense of sea water is abundant [2]. The process of removing salts from saline water is called desalination [3]. Desalination is achieved by (a) thermal distillation processes such as multiple effect evaporation, multi-stage flash (MSF), vapour compression, etc., and (b) membrane processes such as nano-filtration, electro-dialysis reversal, forward osmosis, reverse osmosis (RO), etc. RO has been proved to be economical [4]
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