Intelligent mixed H<sub>2</sub>/H<sub>∞</sub> FOPID controller optimized for radar guided missile

Yaghi, Murad; Efe, Mehmet Önder

doi:10.1109/ceit.2018.8751857

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…Remark 8. The physical meaning of the conditions in (26) and ( 27) is that the actuator attack state Γ a (t) of dynamic smoothed model in (8) and sensor attack state Γ s (t) of dynamic smoothed model in ( 9) are all observable.…”

Section: Proof See Appendix Bmentioning

confidence: 99%

“…For years, various guidance laws have been utilized with different control concepts. Currently, most popular terminal guidance laws defined by Locke involve line-of-sight (LOS) guidance [6], [7], LOS rate guidance [8], [9], commandto-line-of-sight (CLOS) guidance [10], [11], and other advanced guidances such as proportional navigation guidance (PNG) [12]- [14], command to optimal interception point (COIP) guidance [15], augmented proportional navigation guidance (APNG) [16], optimal guidance law [17]- [19], linear quadratic Gaussian (LQG) theory [20], [21], sliding mode theory [22], H ∞ robust theory, impact angle control [23]- [25] and fuzzy logic control theory [26]- [28], etc. For the above conventional guidance strategy designs, it assumed the information of target and missile can be obtained perfectly by the seeker of missile for guidance control design, namely it neglect the effect of measurement noise in seeker.…”

Section: Introdutctionmentioning

confidence: 99%

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Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

2021

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In this study, the robust H ∞ stochastic observer-based attack-tolerant guidance control strategy is designed for the nonlinear stochastic missile guidance control system under the external disturbance and measurement noise as well as actuator attack signal and sensor attack signal. To simplify the attack signal estimation, a novel nonsingular smoothed dynamic model is introduced to efficiently describe the actuator and sensor attack signals. Consequently, the state/attack signal estimation can be easily achieved by using conventional Luenberger observer. Next, to attenuate the effect of external disturbance, measurement noise and approximation errors of attack signal on the missile guidance control system, the robust H ∞ attack-tolerant guidance control performance is considered and the design condition is derived in terms of nonlinear Hamilton-Jacobi inequality (HJI) constrained problem. Since HJI can not be easily solved analytically or numerically, the Takagi-Sugeno (T-S) fuzzy modelling method is utilized to facilitate the robust H ∞ attack-tolerant guidance control strategy design. Thereafter, the H ∞ observer-based attacktolerant control design problem is transformed into linear matrix inequalities problem (LMIP) which can be solved very efficiently by using the convex optimization techniques. Simulation example, with the comparison between the proposed method and conventional robust missile guidance strategy, is given to illustrate the design procedures and validate the performance of the proposed method.

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Section: Proof See Appendix Bmentioning

confidence: 99%

Section: Introdutctionmentioning

confidence: 99%

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

2021

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“…Moreover, since these extra parameters are mutually influenced by the controller's gains, tuning the parameters of the FOPID controller is much more challenging than for the classical integer-order case. To solve this problem, various optimization strategies have been applied, including particle swarm optimization [2]- [4], genetic algorithms [5], [6], differential evolution methods [5], chaotic firefly algorithms [7], extensions of classical tuning methods for PID controllers [8], [9], and other techniques [10]- [14]. Several implementations in control loops of various processes show that FOPID controllers can be effectively used, and their control performances can be much better than classical PID [14]- [23].…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, various optimization strategies have been applied, including particle swarm optimization [2]- [4], genetic algorithms [5], [6], differential evolution methods [5], chaotic firefly algorithms [7], extensions of classical tuning methods for PID controllers [8], [9], and other techniques [10]- [14]. Several implementations in control loops of various processes show that FOPID controllers can be effectively used, and their control performances can be much better than classical PID [14]- [23]. Additionally, the FOPID controllers can also apply fractional variable-order elements.…”

Section: Introductionmentioning

confidence: 99%

A New Reduced-Order Implementation of Discrete-Time Fractional-Order PID Controller

Stanisławski

Rydel

2022

IEEE Access

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This paper presents a new method for computationally effective implementation of a discretetime fractional-order proportional-integral-derivative (FOPID) controller. The proposed method is based on a unique representation of the FOPID controller, where fractional properties are modeled by a specific finite impulse response (FIR) filter. The balanced truncation model order reduction method is applied in the proposed approach to obtain an effective, low-order model of the FOPID controller. The time-invariant FOPID controller implementation is presented first, and then the methodology is extended to the controller with time-varying gains. A comparative analysis shows that the proposed methodology leads to the effective modeling of discrete-time FOPID controllers. In addition to simulation runs, the effectiveness of the introduced methodology is confirmed in a real-life experiment involving the control of the DC motor servo system. The paper concludes with the implementation tools developed in the Matlab/Simulink environment.

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Implementation of FOPID controller with modified harmony search optimization for precise modelling and auto-tuning of nonlinear systems

Rajendran,

Karthikeyan,

Saravanakumar

2024

Automatika

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Intelligent mixed H₂/H_∞ FOPID controller optimized for radar guided missile

Cited by 3 publications

References 11 publications

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

A New Reduced-Order Implementation of Discrete-Time Fractional-Order PID Controller

Implementation of FOPID controller with modified harmony search optimization for precise modelling and auto-tuning of nonlinear systems

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Intelligent mixed H2/H∞ FOPID controller optimized for radar guided missile

Cited by 3 publications

References 11 publications

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

A New Reduced-Order Implementation of Discrete-Time Fractional-Order PID Controller

Implementation of FOPID controller with modified harmony search optimization for precise modelling and auto-tuning of nonlinear systems

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Intelligent mixed H₂/H_∞ FOPID controller optimized for radar guided missile