Cross-axis control system design for borehole drilling based on damping optimum criterion and utilization of proportional-integral controllers

2020 ◽  
Author(s):  
Danijel Pavković ◽  
Pavle Šprljan ◽  
Mihael Cipek ◽  
Matija Krznar
Keyword(s):  
Control System ◽  
System Design ◽  
Control System Design ◽  
Proportional Integral ◽  
Borehole Drilling ◽  
Cross Axis

scholarly journals Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7125
Author(s):  
Matija Krznar ◽  
Danijel Pavković ◽  
Mihael Cipek ◽  
Juraj Benić
Keyword(s):  
Control System ◽  
System Design ◽  
Power Unit ◽  
Power Distribution ◽  
Rotational Speed ◽  
Controller Design ◽  
Combustion Engine ◽  
Control System Design ◽  
Proportional Integral ◽  
Hybrid Power

This paper presents the results of modeling, control system design and simulation verification of a hybrid-electric drive topology suitable for power flow control within unmanned aerial vehicles (UAVs). The hybrid power system is based on the internal combustion engine (ICE) driving a brushless DC (BLDC) generator supplying the common DC bus used for power distribution within the aircraft. The overall control system features proportional-integral-derivative (PID) feedback control of the ICE rotational speed using a Luenberger estimator for engine-generator set rotational speed estimation. The BLDC generator active rectifier voltage and current are controlled by proportional-integral (PI) feedback controllers, augmented by estimator-based feed-forward load compensators. The overall control system design has been based on damping optimum criterion, which yields straightforward analytical expressions for controller and estimator parameters. The robustness to key process parameters variations is investigated by means of root-locus methodology, and the effectiveness of the proposed hybrid power unit control system is verified by means of comprehensive computer simulations.

scholarly journals Proportional-integral-plus (PIP) control of time delay systems

1998 ◽  
Vol 212 (1) ◽  
pp. 37-48 ◽  
Author(s):  
C J Taylor ◽  
A Chotai ◽  
P C Young
Keyword(s):  
Control System ◽  
Time Delay ◽  
System Design ◽  
Design Methods ◽  
Smith Predictor ◽  
Delay Systems ◽  
Control System Design ◽  
Time Delay Systems ◽  
Climate Control ◽  
Proportional Integral

The paper shows that the digital proportional-integral-plus (PIP) controller formulated within the context of non-minimum state space (NMSS) control system design methodology is directly equivalent, under certain non-restrictive pole assignment conditions, to the equivalent digital Smith predictor (SP) control system for time delay systems. This allows SP controllers to be considered within the context of NMSS state variable feedback control, so that optimal design methods can be exploited to enhance the performance of the SP controller. Alternatively, since the PIP design strategy provides a more flexible approach, which subsumes the SP controller as one option, it provides a superior basis for general control system design. The paper also discusses the robustness and disturbance response characteristics of the two PIP control structures that emerge from the analysis and demonstrates the efficacy of the design methods through simulation examples and the design of a climate control system for a large horticultural glasshouse system.

MIMO PREDICTIVE PID CONTROL: A PRACTICAL APPROACH FOR QUADRUPLE TANK

2013 ◽  
Vol 22 (03) ◽  
pp. 1350009 ◽  
Author(s):  
QAMAR SAEED ◽  
VALI UDDIN ◽  
REZA KATEBI
Keyword(s):  
Control System ◽  
System Design ◽  
Predictive Control ◽  
Generalized Predictive Control ◽  
Control System Design ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Tank System ◽  
Proportional Integral Controller ◽  
And Performance

In this paper, predictive control has been implemented by several methods in a most simplified manner for quadruple tank system, i.e., a multi-input multi-output control problem. Quadruple tank system is a nonlinear system which can be adjusted to obtain two different class of system i.e., minimum and nonminimum phase, therefore tuning for each phase of system has to be tackled separately. Control system design has been obtained by manual proportional-integral controller, traditional generalized predictive control, predictive proportional-integral-derivative on the basis of generalized predictive control, predictive iterative learning control and finally adaptive predictive proportional-integral-derivative control has been developed successfully. Stability and performance of the each control system design has also been discussed.

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