Modeling and Simulation of Control Actuation System with Fuzzy‐PID Logic Controlled Brushless Motor Drives for Missiles Glider Applications

Muniraj, Murali; Arulmozhiyal, R.

doi:10.1155/2015/723298

Cited by 12 publications

(5 citation statements)

References 17 publications

(17 reference statements)

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“…The automatic actuation control system used in fins and gliders to maintain constant torque performance for various dynamic loads and thermal object loads [3][4]. The drive system for a BLDC generator on current control techniques using PWM signals [5][6]. Further the development of the position and speed control for various applications between the controllers, conventional PID is the most popular controller in practice has poor dynamic behavior for non-linear loads in real-time applications.…”

Section: Highlightsmentioning

confidence: 99%

Optimization and Validation of Model Predictive Controller (MPC) Approach for Wind Turbine Energy System in Domestic Loads

Muniraj¹,

Arulmozhiyal²

2023

Braz. arch. biol. technol.

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In this paper, a novel MPC controller for Wind turbine system (WTS) is proposed to control the turbine actuation system using intelligent fuzzy logic. The main limitation of wind turbine system is power regulation and frequent transient operation which defines the WTS as unstable among other renewable energy sources. The proposed controller defines the WTS to operate in nominal conditions with high improved performance during capture of wind energy system which maintains the load safe and operate-able to all condition. The controller proposed with the small actuator that defines with WTS will tackle losses associated during operation and rotation of WTS. The complete WTS with actuator model and fuzzy control based MPC controller designed in MATLAB/SIMULINK environment. The simulation outcomes suggest that a better transient response and high energy delivery obtained during the usage of proposed controller and further reduces ripples, further the proposed work tested with various operating ranges in domestic loads holds better results compare to conventional one.

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Section: Highlightsmentioning

confidence: 99%

Optimization and Validation of Model Predictive Controller (MPC) Approach for Wind Turbine Energy System in Domestic Loads

Muniraj¹,

Arulmozhiyal²

2023

Braz. arch. biol. technol.

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“…One of the most important subsystems of the guided missiles is the control actuation system (CAS) in the sense of orienting them towards predetermined targets at a desired accuracy level (Arulmozhiyal et al, 2015). In practical applications, the CAS which is responsible of converting the command signals generated by the missile control system into reasonable physical motion by means of the control fins is subjected to the disturbing moments originated from aerodynamic effects (Muniraj and Arulmozhiyal, 2015). These effects are in general called "hinge moment effects".…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Control of an Electro-Mechanical Fin Loading System

Özkan

2022

UUJFE

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In this study, the design of an electro-mechanical fin loading system which is utilized to simulate the effects of the aerodynamic moment occurring in an atmospheric flight on a missile system is dealt with. In this extent, the dynamic modeling of the dedicated loading system is constructed and then the control system is designed on that model. As the control algorithm, the classical control system operating with regard of the PID (proportional plus integral plus derivative) control action and the robust control system designed according to the H∞ norm are taken into consideration. Once the mentioned control systems are built, the relevant computer simulations are performed with the inclusion of a realistic control actuation system model in accordance with the consistent numerical values of the necessary parameters. As a result of this work, it is observed that the robust control system yields more satisfactory results than its classical counterpart even under more severe conditions.

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“…Some of the studies that have been done were speed control with fuzzy logic [3], fuzzy PID [4], and Fuzzy Genetics Algorithm [5], where the controller were tested on BLDC linear motor models. The linear model is a model that is only capable presenting the motor when in its maximum performance.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor

Putra¹,

Has²,

Effendy³

2018

EECSI

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This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportionalintegral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.

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Modeling and Simulation of Control Actuation System with Fuzzy‐PID Logic Controlled Brushless Motor Drives for Missiles Glider Applications

Cited by 12 publications

References 17 publications

Optimization and Validation of Model Predictive Controller (MPC) Approach for Wind Turbine Energy System in Domestic Loads

Optimization and Validation of Model Predictive Controller (MPC) Approach for Wind Turbine Energy System in Domestic Loads

Dynamic Modeling and Control of an Electro-Mechanical Fin Loading System

Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor

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