Ambulance Temperature Control for the Safety of Medical Products using Fractional Order PID Controller Based on Artificial Intelligence Techniques

摘要

In this paper, the PID and the Fractional Order PID (FOPID) controllers are proposed to control the temperature of an ambulance so as to protect the medical products from damage. Since the process of temperature control is widely used in so many areas especially in the medical field for the transportation process of medical products such as medicines, blood, and injections. The FOPID gains are calculated using Hit & Trial, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) techniques. Additionally, to make the system practical the concept of dead time is introduced. To verify the performance of proposed technique simulation is conducted for various conditions and different values of dead time. Performances are recorded for classical PID, PID + GA, PID + PSO, FOPID, FOPID + GA, and FOPID + PSO controllers for different time domain criteria along with integral square error (ISE) and integral absolute error (IAE). Results manifest that applying FOPID + PSO is efficacious and it can maintain better closed loop performance over conventional PID control.