Pointing control design based on the PID type-III control loop for two-axis gimbal systems

Duan, Qianwen; Zhou, Xi; He, Qiunong; Chen, Xinglong; Liu, Wansheng; Mao, Yao

doi:10.1016/j.sna.2021.112923

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…It can be seen that the PID type-ii and type-iii controller tuned by the method in this paper has significantly improved rise time, settling time and disturbance rejection property of system, compared with the PID type-i controller tuned by LQR in [33]. Figures 12,14,16,18a,b are the tracking response of the system to the speed and acceleration reference signal, respectively. In addition, Figures 12,14,16,18c,d are the errors of the tracking response of the system to the speed and acceleration reference signal, respectively.…”

Section: Example 4: Under-damped Soptd Processmentioning

confidence: 89%

“…Using Equation (14) in Equation ( 41) and with some algebraic manipulations, it is straight-forward to get f 11 , f 12 , f 13 , f 14 ,…”

Section: Evaluation Of E a C Tmentioning

confidence: 99%

“…Figures 12,14,16,18a,b are the tracking response of the system to the speed and acceleration reference signal, respectively. In addition, Figures 12,14,16,18c,d are the errors of the tracking response of the system to the speed and acceleration reference signal, respectively. Compared with the PID type-i controller tuned by LQR in [33], the PID type-ii controller tuned by the method in this paper can track a faster reference signal (speed signal) and the speed tracking error is 0.…”

Section: Example 4: Under-damped Soptd Processmentioning

confidence: 99%

“…However, [13] did not consider the control study of the controlled object with time delay. [14] also proposed the parameter setting rule of PID type-iii controller in two-axis gimbal system and successfully improved its pointing accuracy. Recently, [15] proposed the promotion of the symmetrical optimal criterion in the PID type-p control loop.…”

Section: Introductionmentioning

confidence: 99%

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Extending the LQR to the design of PID type‐ii and type‐iii control loops

Liu

Duan

Zhang

et al. 2022

IET Control Theory & Appl

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This paper concerns the improvement on Proportional-Integration-Derivative (PID) control for standard second-order plus time-delay systems (SOPTD). To achieve higher tracking precision and stronger disturbance rejection, a PID type-ii and type-iii controlloops design method based on the combination of the linear quadratic regulator (LQR) and dominant pole configuration technology is proposed in this paper. The PID type-ii control loop is capable of achieving perfect tracking of step and ramp reference signals with zero steady-state position and velocity error. The PID type-iii control loop is capable of achieving perfect tracking of step, ramp and parabolic reference signals with zero steady-state position, velocity and acceleration error. The effectiveness of the proposed PID type-ii and type-iii controller parameters tuning rules has been demonstrated via simulation of over-damped, critical-damped and under-damped systems. To be specific, compared with the PID type-i control loop, rise time, settling time and disturbance rejection property of the system have been significantly improved while realizing faster reference signal tracking. Finally, the effects of non-dominant pole on the stability and robustness of PID type-ii and PID type-iii closed loop systems have also been discussed.

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Section: Example 4: Under-damped Soptd Processmentioning

confidence: 89%

“…Using Equation (14) in Equation ( 41) and with some algebraic manipulations, it is straight-forward to get f 11 , f 12 , f 13 , f 14 ,…”

Section: Evaluation Of E a C Tmentioning

confidence: 99%

Section: Example 4: Under-damped Soptd Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Extending the LQR to the design of PID type‐ii and type‐iii control loops

Liu

Duan

Zhang

et al. 2022

IET Control Theory & Appl

Self Cite

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Enhancing Gimbal Stabilization Using DMP and Kalman Filter: A Low-Cost Approach with MPU6050 Sensor

Crisnapati,

Maneetham,

Thwe

et al. 2023

2023 11th International Conference on Cyber and IT Service Management (CITSM)

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A Linear Quadratic Regulation Controller Based on Radial Basis Function Network Approximation

Liu,

Qiu,

et al. 2024

Electronics

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This paper proposes a linear quadratic regulation (LQR) tracking control method based on a radial basis function (RBF) that successfully compensates for the shortcomings of the LQR method. The LQR method depends on the linearity of a model. Specifically, an RBF neural network is used to approximate and compensate for the nonlinear part of a controlled object in the PID type-I, type-II and type-III control loops to improve the performance of the system. Through the simulation of different industrial systems, such as underdamped, overdamped and critically damped systems, the method significantly improves the dynamic response performance indices, such as the rise time and settling time, of the system.

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Pointing control design based on the PID type-III control loop for two-axis gimbal systems

Cited by 3 publications

References 27 publications

Extending the LQR to the design of PID type‐ii and type‐iii control loops

Extending the LQR to the design of PID type‐ii and type‐iii control loops

Enhancing Gimbal Stabilization Using DMP and Kalman Filter: A Low-Cost Approach with MPU6050 Sensor

A Linear Quadratic Regulation Controller Based on Radial Basis Function Network Approximation

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