Optimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithm

2018 ◽  
Vol 72 ◽  
pp. 137-153 ◽  
Author(s):  
Dipayan Guha ◽  
Provas Kumar Roy ◽  
Subrate Banerjee
Author(s):  
Mohammad S Heydarzadeh ◽  
Seyed M Rezaei ◽  
Noor A Mardi ◽  
Ali Kamali E

The application of linear motor-driven stages as the feed drivers of CNC micro milling machine tools is growing. In addition to employ high speed and high precision equipment such as linear motor-driven stages, the precision of the machined contours is highly dependent on the capabilities of the servo controllers. In this paper, the design of a precise controller for a two-axis LMDS has been investigated for micro-milling applications. In such feed drives, disturbances such as friction, force ripples, and machining forces have adverse effects on the workpiece positioning precision due to the direct drive concept behind them. Therefore, in order to have an acceptable transient response and disturbance rejection properties, a two-degree-of-freedom proportional–integral–derivative controller was employed for each axis. To design this controller, the zero-placement method was used. To compensate disturbances and machining contour errors, the utilization of Kalman filter observers, neural networks, cross-coupled controllers, and different integration of them were studied. The controllers were experimentally examined for circular motions. An integrated controller consisted of a Kalman filter disturbance observer, a cross-coupled controller, and a well-designed two-degree-of-freedom proportional–integral–derivative controller resulted in a high contouring and tracking precision. The controller could also reduce the spikes caused by the friction at the motion reversal points such as the quadrants in circle trajectories.


Author(s):  
Smruti Ranjan Jagadeb ◽  
Bidyadhar Subudhi ◽  
Asim Kumar Naskar

The control of twin rotor multi-input multi-output system is difficult as it is subjected to model uncertainties and external disturbances. Furthermore, there also exists a coupling between pitch and yaw positions, which makes the system more difficult to control them separately. Considering the above difficulties in twin rotor multi-input multi-output system control, [Formula: see text] robust controller is designed to handle the model uncertainties and external disturbances with two-degree-of-freedom. A mixed sensitivity approach is employed to represent the uncertainties and external disturbances arise in the twin rotor multi-input multi-output system. For performance analysis, first the proposed two-degree-of-freedom [Formula: see text] controller is compared with the ‘Linear Quadratic Regulator-Linear Matrix Inequality’–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in MATLAB/Simulation and then in experimentation. From the obtained results, it is confirmed that the proposed controller exhibits enhanced robustness, faster tracking performance and accurate disturbance attenuation, when compared with Linear Quadratic Regulator-Linear Matrix Inequality–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in face of external disturbances and uncertainties.


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