Fractional Order PID Control mechanism for Helicopter Gearbox Test Control with internal and External Disturbance

Abstract

Fractional order PID (FOPID) controller is a special kind of PID controller which it’s derivative and integral order are fractional rather than integer and has five parameters. Using this control improves the control results in accuracy and speed. Statistics show that using this controller for systems with high sensitivity is more practical and safe. Mechanical closed loop test rig acts an important role in aviation industry. Fault diagnosis in gearboxes and other critical components of the airplane and helicopters is the most important part of this industry. More over testing rotating equipment is very important for system security verification. There are several testing technics and many important testing parameters. One of these essential factors is gearbox security test technique. What’s more, mechanical closed-loop system is a very cost effective method. For financial, energy consumption and maintenance reasons, using a system with the ability of energy regeneration is suggested. In this paper mechanical close loop with energy regeneration mechanism is used for testing the helicopter gearbox. Two kinds of controllers are used for keeping the closed-loop’s torque in the constant value. The result of paper shows the behavior of PID and FOPID controller methods in controlling torque circulating in this mechanical closed loop. Beside the overshoot and settling time is considerable.

Implementation of a complex fractional order proportional-integral-derivative controller for a first order plus dead time system

“…It is a generalization of the conventional PID controller, where the integer order derivative and integral actions are replaced by fractional order derivative and integral actions. Some of the recent works that utilize the PI λ D μ controller are presented in [15]- [17]. This generalization was also utilized in the differentiation and integration actions of the conventional fuzzy logic controller, resulting in a fractional order fuzzy logic controller [18], [19].…”