Multivariable PID Controller Design Tuning Using Optimization Technique For Activated Sludge Process

Nor Azlan, Nur Atikah (2017) Multivariable PID Controller Design Tuning Using Optimization Technique For Activated Sludge Process. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The designing of a multivariable PID control for multi input multi output is being concerned in this project by applying four multivariable PID control tuning which are Davison, Penttinen-Koivo, Maciejowski and Proposed method. The determination of this study is to investigate the performance of selected optimization technique to tune the parameter of MPID controller. The selected optimization techniques are Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Bat Algorithm (BA). The best MPID method which is Proposed has been choose to be as a controller tuning method from the all methods of MPID result tuning that have been compared and analyzed. Later, the Proposed has been compared between PSO, GA and BA in order to determine which optimization techniques are better based on the system performances in terms of transient response. The result obtained for the best optimization techniques to be used in Activated Sludge Process (ASP) was the Bat Algorithm with the Proposed control tuning method. This project also was done by simulated the algorithm in a different types of ASP system which are linear and nonlinear system.

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