Development of a Linear Model of Diabetes Mellitus with a PID Controller and a Method for Automatic Adjustment of the PID Controller

2022 ◽  
pp. 43-49
Author(s):  
D. A. Andrikov ◽  
S. V. Kurbanov
Keyword(s):  
Diabetes Mellitus ◽  
Linear Model ◽  
Pid Controller ◽  
Automatic Adjustment

scholarly journals PERANCANGAN AUTOPILOT LATERAL-DIREKSIONAL PESAWAT NIRAWAK LSU-05 (THE DESIGN OF THE LATERAL-DIRECTIONAL AUTOPILOT FOR THE LSU-05 UNMANNED AERIAL VEHICLE)

2018 ◽  
Vol 15 (2) ◽  
pp. 93 ◽  
Author(s):  
Muhammad Fajar ◽  
Ony Arifianto
Keyword(s):  
State Space ◽  
Linear Model ◽  
Unmanned Aerial Vehicle ◽  
Pid Controller ◽  
Settling Time ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Directional Motion ◽  
Aerial Vehicle ◽  
Simulation Results

The autopilot on the aircraft is developed based on the mode of motion of the aircraft i.e. longitudinal and lateral-directional motion. In this paper, an autopilot is designed in lateral-directional mode for LSU-05 aircraft. The autopilot is designed at a range of aircraft operating speeds of 15 m/s, 20 m/s, 25 m/s, and 30 m/s at 1000 m altitude. Designed autopilots are Roll Attitude Hold, Heading Hold and Waypoint Following. Autopilot is designed based on linear model in the form of state-space. The controller used is a Proportional-Integral-Derivative (PID) controller. Simulation results show the value of overshoot / undershoot does not exceed 5% and settling time is less than 30 second if given step command. Abstrak Autopilot pada pesawat dikembangkan berdasarkan pada modus gerak pesawat yaitu modus gerak longitudinal dan lateral-directional. Pada makalah ini, dirancang autopilot pada modus gerak lateral-directional untuk pesawat LSU-05. Autopilot dirancang pada range kecepatan operasi pesawat yaitu 15 m/dtk, 20 m/dtk, 25 m/dtk, dan 30 m/dtk dengan ketinggian 1000 m. Autopilot yang dirancang adalah Roll Attitude Hold, Heading Hold dan Waypoint Following. Autopilot dirancang berdasarkan model linier dalam bentuk state-space. Pengendali yang digunakan adalah pengendali Proportional-Integral-Derivative (PID). Hasil simulasi menunjukan nilai overshoot/undershoot tidak melebihi 5% dan settling time kurang dari 30 detik jika diberikan perintah step.

Design of Digital Controllers for Permanent Magnet Torque Motors

2012 ◽  
Vol 463-464 ◽  
pp. 1219-1223
Author(s):  
M. Ebrahimi ◽  
S.A. Jazayeri
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Permanent Magnet ◽  
Linear Model ◽  
Pid Controller ◽  
Pole Placement ◽  
Digital Controllers ◽  
Controlled System ◽  
Digital Pid ◽  
Pole Placement Controller

The design of control system can be divided into two steps. The plant has to be converting into mathematical model form, so that its behavior can be analyzed. Then an appropriate controller has to be design in order to get the desired response of the controlled system. In this paper, the linear model of a Permanent magnet torque motor (PMTM) is considered and three controllers, digital PID controller with two forms of positional and velocity, a deadbeat controller and pole placement controller method are designed and due to a comparing between their, the best controller for this kind of plants will be chosen.

PID controller design for trailer suspension based on linear model

2015 ◽  
Author(s):  
S. Kushairi ◽  
A. R. Omar ◽  
R. Schmidt ◽  
A. A. Mat Isa ◽  
K. Hudha ◽  
...  
Keyword(s):  
Linear Model ◽  
Pid Controller ◽  
Controller Design ◽  
Pid Controller Design

scholarly journals Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
M. N. Ab Malek ◽  
M. S. Mohamed Ali
Keyword(s):  
Control System ◽  
Linear Model ◽  
Nonlinear Model ◽  
Pid Controller ◽  
Classical Method ◽  
Cruise Control ◽  
Tuning Method ◽  
Cruise Control System ◽  
The Difference ◽  
Evolutionary Tuning

For long time the optimization of controller parameters uses the well-known classical method such as the Ziegler-Nichols and the Cohen-Coon tuning techniques. Despite its effectiveness, these off-line tuning techniques can be time consuming especially for a case of complex nonlinear system. This paper attempts to show a great deal on how Metamodeling techniques can be utilized to tune the PID controller parameters quickly. Note that the plant use in this study is the cruise control system with 2 different models, which are the linear model and the nonlinear model. The difference between both models is that the disturbances were taken into consideration for the nonlinear model, but in the linear model the disturbances were assumed as zero. The Radial Basis Function Neural Network Metamodel is able to prove that it can minimize the time in tuning process as it is able to give a good approximation to the optimum controller parameters in both models of this system.

scholarly journals A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant

2018 ◽  
Vol 10 (7) ◽  
pp. 2438 ◽  
Author(s):  
Yuxiao Qin ◽  
Li Sun ◽  
Qingsong Hua ◽  
Ping Liu
Keyword(s):  
Fuzzy Logic ◽  
Linear Model ◽  
Pid Controller ◽  
High Reliability ◽  
Control Object ◽  
Pid Controllers ◽  
Strong Nonlinearity ◽  
Control Scheme ◽  
Wide Range ◽  
Fuzzy Adaptive

Solid oxide fuel cells (SOFCs) are promising electrochemical devices which translate chemical energy directly into electric energy with high efficiency and low pollution. However, the control of the output voltage of SOFCs is quite challenging because of the strong nonlinearity, limited fuel flow, and rapid variation of the load disturbance. Nowadays, proportional-integral-derivative (PID) controllers are commonly utilized in industrial control systems for their high reliability and simplicity. However, it will lead to overshoot and windup issues when used in the wide-range operation of SOFCs. This paper aims to improve the PID controller performance based on fuzzy logic by (1) identifying a linear model based on the least squares method; (2) optimizing the PID parameters based on the generated linear model; and (3) designing a fuzzy adaptive PID controller based on the optimized parameters. The simulation results of the conventional PID controller and the fuzzy adaptive PID controller are compared, demonstrating that the proposed controller can achieve satisfactory control performance for SOFCs in terms of anti-windup, overshoot reduction, and tracking acceleration. The main contribution of this paper can be summarized as: (1) this paper identifies the SOFC model and uses the identified model as a control object to optimize conventional PID controllers; (2) this paper combines a fuzzy logic control scheme and PID control scheme to design our proposed fuzzy adaptive PID controller; and (3) this paper develops an anti-windup structure based on a back-calculation method to reduce saturation time and overshoot.

scholarly journals Adaptive Tuned Controller Parameters for Non-Linear Tanks

2019 ◽  
Vol 8 (9) ◽  
pp. 361-365
Keyword(s):  
Linear Model ◽  
Nonlinear Model ◽  
Pid Controller ◽  
Controller Design ◽  
Pid Controllers ◽  
Linear Modeling ◽  
Local Linear ◽  
Pid Controller Design ◽  
Overall Performance ◽  
Better Than

In this article, an adaptive PID controller design is proposes for the nonlinear conical tank process. The modeling of the proposed tank process is obtained from local linear modeling technique. Totally five local linear regions are identified and formed to get nonlinear model of the process. The PID controller is designed for each linear model and combined together to get the adaptive PID controller. The identified adaptive PID is presented to the conical system and the measured results are verified with local PID controllers to show the effectiveness of the proposed one. From the measured results, it is verified that the overall performance of the Adaptive PID controller is significantly better than local PID.

scholarly journals Non-Integer Order Approximation of a PID-Type Controller for Boost Converters

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3153
Author(s):  
Allan G. S. Sánchez ◽  
Francisco J. Pérez-Pinal ◽  
Martín A. Rodríguez-Licea ◽  
Cornelio Posadas-Castillo
Keyword(s):  
Linear Model ◽  
Fractional Order ◽  
Pid Controller ◽  
Output Voltage ◽  
Voltage Regulation ◽  
Boost Converter ◽  
Phase Variable ◽  
Minimum Phase ◽  
Integer Order ◽  
Fractional Order Pid

In this work, the voltage regulation of a boost converter is addressed. A non-integer order PID controller is proposed to deal with the closed-loop instability of the system. The average linear model of the converter is obtained through small-signal approximation. The resulting average linear model is considered divided into minimum and normalized non-minimum phase parts. This approach allows us to design a controller for the minimum phase part of the system, excluding temporarily the non-minimum phase one. A fractional-order PID controller approximation is suggested for the minimum phase part of the system. The proposal for the realization of the electrical controller is described and its implementation is used to corroborate its effectiveness when regulating the output voltage in the boost converter. The fractional-order PID approximation achieves regulation of the output voltage in the boost converter by exhibiting the iso-damping property and using a single control loop, which confirmed its effectiveness in terms of controlling non-minimum phase/variable parameter systems.

Peer Relationship Problems in Children with Tourette's Disorder or Diabetes Mellitus

1998 ◽  
Vol 39 (5) ◽  
pp. 663-668 ◽  
Author(s):  
Harry N. Bawden ◽  
Aidan Stokes ◽  
Carol S. Camfield ◽  
Peter R. Camfield ◽  
Sonia Salisbury
Keyword(s):  
Diabetes Mellitus ◽  
Peer Relationship ◽  
Tourette’S Disorder ◽  
Relationship Problems ◽  
Tourette's Disorder

Intramuscular Nerve and Neuromuscular Junction Alteration In Extraocular Muscles of Diabetic Mice

1985 ◽  
Vol 43 ◽  
pp. 682-683
Author(s):  
Bruce R. Pachter
Keyword(s):  
Diabetes Mellitus ◽  
Peripheral Nerves ◽  
Sudden Onset ◽  
Extraocular Muscles ◽  
Diabetic Patients ◽  
Oculomotor Palsy ◽  
Third Nerve Palsy ◽  
Patients With Diabetes ◽  
Intramuscular Nerve ◽  
Oculomotor Nerves

Diabetes mellitus is one of the commonest causes of neuropathy. Diabetic neuropathy is a heterogeneous group of neuropathic disorders to which patients with diabetes mellitus are susceptible; more than one kind of neuropathy can frequently occur in the same individual. Abnormalities are also known to occur in nearly every anatomic subdivision of the eye in diabetic patients. Oculomotor palsy appears to be common in diabetes mellitus for their occurrence in isolation to suggest diabetes. Nerves to the external ocular muscles are most commonly affected, particularly the oculomotor or third cranial nerve. The third nerve palsy of diabetes is characteristic, being of sudden onset, accompanied by orbital and retro-orbital pain, often associated with complete involvement of the external ocular muscles innervated by the nerve. While the human and experimental animal literature is replete with studies on the peripheral nerves in diabetes mellitus, there is but a paucity of reported studies dealing with the oculomotor nerves and their associated extraocular muscles (EOMs).

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