Controller design for a limited angle torque motor and dsPIC implementation

Çolak, İlhami; Şahin, Murat; Cakiroglu, Semih; Esen, Zafer

doi:10.1109/optim.2015.7427020

Cited by 1 publication

(1 citation statement)

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“…Experiments verified the effectiveness of the method. Çolak et al [17] researched the LATM mathematical modeling and control methods in the Simulink simulation environment and verified the dual closed-loop control method of angle loop + current loop and the triple closed-loop control method of angle loop + angle velocity loop + current loop, respectively. The experimental results met the design criteria, but the mathematical models established in the above methods could hardly visualize an LATM's features.…”

Section: Introductionmentioning

confidence: 99%

Integrated Physical Modeling and Optimal Control Method of Limited-Angle Torque Motor in Fuel Metering Apparatus

2022

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Limited-angle torque motor (LATM) is a critical component to precisely drive the valve angle of an engine’s fuel metering apparatus and accurately measure the fuel flow, and research on it is of great significance. Thus, the LATM of a certain kind is regarded as the research object in this paper. Firstly, a Simscape-based LATM integrated physical modeling method is proposed, which can better demonstrate the real operational characteristics of a motor, compared with the current mathematical model. Secondly, a Proportional-Integral-Derivative (PID) parameter self-tuning method based on a constriction factor particle swarm optimization (CPSO) algorithm is broached since it is difficult to tune due to a large number of multi-loop cascade PID control parameters. Simulation and experimental results showed that the control performance increases by 40% in the triple closed-loop PID control system with a stronger disturbance rejection, simpler design, and quickly responds when compared with the previous empirical tuning method. The triple closed-loop PID control system comprises an angle loop + angle velocity loop + current loop and technically supports the engineering application design of motors.

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Section: Introductionmentioning

confidence: 99%