Parameters Of Fractional PID Controller Research Articles

Auto-Tuning Parameters of Fractional PID Controller Design for Air-Conditioning Fan Coil Unit

The traditional integer order PID controller manipulates the air-conditioning fan coil unit (FCU) that offers cooling and heating loads to each air-conditioning room in summer and winter, respectively. In order to maintain a steady indoor temperature in summer and winter, the control quality cannot meet the related requirements of air-conditioning automation, such as large overshoot, large steady state error, long regulating time, etc. In view of these factors, this paper develops a fractional order PID controller to deal with such problem associated with FCU. Then, by varying mutation factor and crossover rate of basic differential evolution algorithm adaptively, a modified differential evolution algorithm (MDEA) is designed to tune the satisfactory values of five parameters of indoor temperature fractional order PID controller. This fractional order PID control system is configured and the corresponding numerical simulation is conducted by means of MATLAB software. The results indicate that the proposed fractional order PID control system and MDEA are reliable and the related control performance indexes meet with the related requirements of comfortable air-conditioning design and control criteria.

Automatic Generation Control of Single Area Thermal Power System with Fractional Order PID (PIλDμ) Controllers

This paper proposes a fractional order PID (FOPID) controller for the supplementary automatic generation control (AGC) of a single area thermal power system having non-reheat turbines. The parameters of fractional PID controller are determined using genetic algorithm (GA). The effectiveness of the proposed controller is established by comparing its performance with the conventional integer order integral, PI and PID controllers based AGC. The investigations reveal that the proposed fractional order controller is better than the integer order controllers in terms of settling time, peak overshoot, steady state error and mean of sum of squared errors (MSSE).

Design of aerospace control systems using fractional PID controller

The goal is to control the trajectory of the flight path of six degree of freedom flying body model using fractional PID. The design of fractional PID controller for the six degree of freedom flying body is described. The parameters of fractional PID controller are optimized by particle swarm optimization (PSO) method. In the optimization process, various objective functions were considered and investigated to reflect both improved dynamics of the missile system and reduced chattering in the control signal of the controller.