  The aim of this research is to design a PID Controller using particle swarm
optimization (PSO) algorithm for multiple-input multiple output (MIMO)
Takagi-Sugeno fuzzy model. The conventional gain tuning of PID controller (such
as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore
modern heuristics approach such as PSO are employed to enhance the capability
of traditional techniques. However, due to the computational efficiency, only
PSO will be used in this paper. The results show the advantage of the PID
tuning using PSO-based optimization approach.
