Proportional-Integral-Derivative and Linear Quadratic Regulator Control of Direct Current Motor Position using Multi-Turn Based on LabView

Handaya, Devi; Fauziah, Resti

doi:10.18196/jrc.24102

Cited by 19 publications

(14 citation statements)

References 15 publications

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“…Duwi Prasetiyo, Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC B. PID Controller PID (Proportional Integral Derivative) controllers are controllers that are often used in control systems in the industrial world. In accordance with the controlling function, the PID controller determines the amount of control action that must be performed in order for the system to reach a predetermined setpoint [9][15], the proportional parameter (also called gain) has an output that is proportional to the current error value. A proportional response can be set by redirecting the error with a 𝐾𝑝 constant called a proportional constant.…”

Section: A Control System Block Diagrammentioning

confidence: 99%

Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Prastiyo

Aji

2023

csol

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Automatic control system or control system (control system) is a system that aims to control a process so that the output produced can be controlled so that no errors occur. Automatic control in a system is very necessary because not all can be controlled by humans with precision, so it is necessary to have a control system that can monitor at the same time as the desired command execution. This research is to design a prototype irrigation sluice control system using a potentiometer, PID algorithm, PLC OMRON CP1E NA20DR-A and DC PG 28 motor as actuator. This research was conducted at the system design stage, both in hardware design and software design. The results of the tests that have been done show that the PID works well, this can be known from the state of the Output Word value "0" if the value "SP = PV" while the Output Word value will be greater than zero if "SP PV". Data collection is carried out with a water level condition of 12 cm then to raise the water condition, then add water slowly, from the data obtained that shows the increase in water level at the potentiometer voltage is 0.116 V / cm.

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Section: A Control System Block Diagrammentioning

confidence: 99%

Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Prastiyo

Aji

2023

csol

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“…Hasil pengujian menunjukkan pengendali yang berbasis full state feedback memiliki respon yang lebih baik dari pada PID karena waktu yang dibutuhkan untuk mencapai nilai referensi lebih cepat. Penelitian terkait lain dilakukan oleh (Handaya & Fauziah, 2021) yang membandingkan performa pengendali PID dan full state feedback Linear Quadratic Regulator (LQR) untuk kontrol posisi motor DC.…”

Section: Pendahuluanunclassified

Sistem Kendali Eddy Current Brakes Dinamometer menggunakan Linear Quadratic Regulator (LQR)

et al. 2021

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ABSTRAKMakalah ini memberikan analisis perbandingan antara teknik kendali klasik yaitu kendali PID dengan teknik kendali modern pada sistem Eddy current brakes dinamometer. Eddy current brakes merupakan sistem pengereman modern yang membutuhkan sebuah sistem kendali untuk menunjang kinerja pengereman. Selama ini kendali PID lebih sering digunakan, namun di beberapa kondisi dinilai kurang optimal. Dengan demikian, diperlukan pengembangan kendali yang modern dan optimal yaitu full state feedback Linear Quadratic Regulator (LQR). Perbandingan respon waktu pengereman disimulasikan menggunakan Matlab/Simulink. Hasil simulasi menunjukkan respon waktu pengereman pada kendali LQR lebih baik dibandingkan dengan kendali PID, dengan Ts = 2.12 detik, Tr = 1.18 detik, dan tanpa overshoot. Adapun kendali PID, meskipun menghasilkan Ts = 0.27 detik dan Tr = 0.18 detik, namun demikian masih terdapat overshoot sebesar 0.7%.Kata kunci: Eddy brakes, PID, LQR, Matlab ABSTRACTThis paper provides a comparative analysis between PID control as a classical control technique and modern control technique in the dinamometer Eddy current brakes system. Eddy current brakes is a modern braking system that requires a control system to support the braking performance. PID control is often used to be implemented but in some conditions it is less optimal. Therefore, it is necessary to develop a modern and optimal control, such as a full state feedback Linear Quadratic Regulator (LQR). The comparison of the braking time responses were simulated using Matlab/Simulink. The simulation results show that the response of LQR control is better than the PID, with Ts = 2.12 seconds, Tr = 1.18 seconds, and without overshoot. On the other side, PID control, although having Ts = 0.27 seconds and Tr = 0.18 seconds, there is still an overshoot about 0.7%.Keywords: Eddy brakes, PID, LQR, Matlab

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“…The main issue while controlling the DC motor is its angular speed control with uncertainty and disturbance [11]. Some control methods have been proposed for controlling the speed of DC motors such as PID (Proportional Integral Derivative) [10], LQR (Linear Quadratic Regulator) [12] [13], SMC (Sliding Mode Control) [14], integral state feedback [15], and LQG (Linear Quadratic Gaussian) [16]. The most popular among them is PID control because it is simple and easy to be implemented in real hardware [17] [18].…”

Section: Introductionmentioning

confidence: 99%

Improved LQR Control Using PSO Optimization and Kalman Filter Estimator

et al. 2022

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The electric motor is a device that converts electrical power into mechanical power. The DC motor has some advantages compared to the AC motor on its easier way to control the speed or position and wide adjustable range. The alternative solution for a control method with simple, easy to design, and can be implemented in a multi-input multi-output system is the integral state feedback such as LQR. The weakness of LQR control is that there is no exact method to determine the best value of matrix Q and R used to calculate the state feedback gain. Therefore, it was chosen by trial (manually tuned). This paper proposed an improved LQR control using PSO optimization and the Kalman filter estimator. The PSO is used to find optimal Q and R value while the Kalman filter is used to reduce the number of sensors used to measure the system state. Both performance and energy consumption were compared by using IAE and total energy consumption. The simulation results showed that the proposed method is superior in performance and energy compared to manually tuned LQR. The hardware implementation proves that the proposed method has the smallest IAE, whereas the smallest energy is manually tuned LQR. The proposed method can reduce the IAE by 11.28% with 1% higher energy compared to manually tuned LQR.

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Proportional-Integral-Derivative and Linear Quadratic Regulator Control of Direct Current Motor Position using Multi-Turn Based on LabView

Cited by 19 publications

References 15 publications

Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Sistem Kendali Eddy Current Brakes Dinamometer menggunakan Linear Quadratic Regulator (LQR)

Improved LQR Control Using PSO Optimization and Kalman Filter Estimator

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