Precompensation for a hybrid fuzzy PID control of a proportional hydraulic system

Pratumsuwan, Pornjit; Thongchai, Siripun

doi:10.1109/ecticon.2009.5137027

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The proportional–integral–derivative (PID) control is simple and easy to operate, but it cannot provide strong robust performance when the operating point of the system changes or the parameters change. To deal with the problem, intelligent control, adaptive control and other advanced control technologies were introduced to combine with the PID control to obtain better performance, 3 such as fuzzy PID, 4 fractional order PID, 5 neural network PID 6 and adaptive PID control. 7 In recent years, adaptive method based on backstepping design technique had developed rapidly.…”

Section: Introductionmentioning

confidence: 99%

Adaptive control of hydraulic position servo system using output feedback

Ren

Gong

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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Section: Introductionmentioning

confidence: 99%

Adaptive control of hydraulic position servo system using output feedback

Ren

Gong

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…For Continuous Variable Camshaft Timing system, if we use traditional PID controller, it is difficult to self-adjust PID parameters when there is much variation for PID control parameters in different working states and working situations. If we adopt fuzzy control, several disadvantages appear such as slow response speed, the poor control effect when the error is small and low control accuracy for steady state [3,4]. The idea of variable universe is proposed in [5], in which the domain value is changed dynamically and the interpolation density is increased according to the error value to improve the control accuracy for steady state.…”

Section: Introductionmentioning

confidence: 99%

Research of Continuous Variable Camshaft Timing system based on fuzzy-PID control method

Qin

Zhou

Cheng

2011

2011 Second International Conference on Mechanic Automation and Control Engineering

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Aiming at the control requirements of high speed, accuracy and stability for Continuous Variable Camshaft Timing (CVCT) system, an approach is proposed to adjust PID parameters online and realize by hardware. It combines fuzzy controller with PID controller to realize the self-adjustment of the PID control parameters in which the phase error e and the phase error rate ec are as inputs and the PID controller parameters are as outputs based on fuzzy control rules. The FPGA is employed to implement the algorithm and guarantee that it is fast and reliable. Finally, the experiments are executed on CVCT Test Desk and the results show that the control method can satisfy the condition that the adjustment time of system is less than 400 ms and the overshoot is less than 3 when the phase error is in the range of [-15, 15] degree.

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Root locus approach in design of PID controller for cruise control application

Prasad

Inayathullah

2021

J. Phys.: Conf. Ser.

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The Proportional Integral Derivative (PID) controller is an effective and common feedback control design used in closed loop control systems. One such best consideration of closed loop control system would be cruise control system. This is a system that automatically controls the speed of an electric vehicle despite external disturbances. In this paper, the goal is to design a PID controller using root locus technique for a closed loop cruise control system. By root locus approach, the controller constants and controller design is finalized. Simulation results through MATLAB environment validate the effectiveness of controller design.

show abstract

Precompensation for a hybrid fuzzy PID control of a proportional hydraulic system

Cited by 4 publications

References 11 publications

Adaptive control of hydraulic position servo system using output feedback

Adaptive control of hydraulic position servo system using output feedback

Research of Continuous Variable Camshaft Timing system based on fuzzy-PID control method

Root locus approach in design of PID controller for cruise control application

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