Multivariable PID Tuning Using Cuckoo Search For Activated Sludge Process

Mohamed Imran, Mohamed Taufik (2015) Multivariable PID Tuning Using Cuckoo Search For Activated Sludge Process. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Designing a controller for wastewater treatment plant (WWTP) is important since the controller of the plant is usually neglected once the plant is commissioned. One of the latest optimization techniques is Cuckoo Search (CS). Therefore in this study, a Multivariable Proportional-Integral-Derivative (MPID) tuning using Cuckoo Search (CS) is applied to activated sludge process (ASP) model. The selected MPID to be used are Davison, Penttinen-Koivo, Maciejowski and Proposed Combine methods. The four type of MPID will be implemented to the ASP. Then the parameter of MPID tuning will be tune by two types of optimization techniques. The two optimization techniques used are CS and Particle Swarm Optimization (PSO). All MPID tuning result will be compared and analyses, from the result the best MPID will be chosen. The chosen MPID tuning will then be compared between CS and PSO in order to determine which optimization techniques are better.

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