Tuning Of Multi-Input Multi-Output Proportional-Integral-Derivative Controller Based on Improved Linearly and Chaotic Inertia Weight Particle Swarm Optimization

This paper proposes a new type of Multi-Input Multi-Output Proportional-Integral-Derivative Controller tuning based on the Improved Particle Swarm Optimization (LCPSO) that was developed using the linear decreasing inertia weight is combined with the chaotic inertia weight and the control factor was introduced as an exponential function. In this paper the proposed improved PSO is then used to optimize the PID to minimize the rise time, settling time, time delays, steady-state error, big overshoot when tuning the MIMO PID controller, The systems performance using the experimental trial and error method is not efficient so in this paper, the systems are improved to be more efficient. The results for MIMO PID-based Improved Particle swarm optimization (LCPSO) tuning are then compared with the results of PID without optimization methods.