Position Control of Pneumatic Actuator Using Cascade Fuzzy Self-adaptive PID

Azahar, Mohd Iskandar Putra; Irawan, Addie; Taufika, Raja Mohd; Suid, Mohd Helmi

doi:10.1007/978-981-15-2317-5_1

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…The second group includes fuzzy-PD and fuzzy-PID systems, where the fuzzy controller is used to modify the coefficients of the primary PID controller, which controls the position of the actuator via electromagnetic valves. Proposals for such systems were presented by Azahar et al [81,82], Tagosoglu et al [83,84], Gao et al [85], as well as Irawan and Azahar [86]. Furthermore, Hassan et al [87] designed a similar system except using type-2 membership functions in the fuzzy controller.…”

Section: Pneumatic Proportional Valves and Servo Valvesmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Filo

2023

Energies

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Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actuators, proportional valves, etc. Then, the results of the recent research were presented, and the main features of the designed fuzzy logic units were summarized for each group. Particular attention was paid to types of membership functions used for fuzzification and defuzzification, numbers of fuzzy sets defined for input and output signals, types of fuzzy operators, the applied inference algorithm and the defuzzification method. Based on the analysis of the listed parameters, conclusions were formulated regarding advantages, main issues and difficulties, as well as recommended directions for further development.

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Section: Pneumatic Proportional Valves and Servo Valvesmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Filo

2023

Energies

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“…On the other hand, fluid dynamics systems with the like of pneumatic actuator could effectively handle high force operations for an extensive interval at the uncertain of air compressibility, parametric uncertainties, and nonlinearities. Motion precision of a robot system further required targeted configuration under such arrangement considering the encountered difficulties for sustainable performance accuracy and stability [9,10]. These constraints, thus, demoted the efficiency in motion control upon handling highly sensitive and dynamic operations like interactive motions.…”

Section: Introductionmentioning

confidence: 99%

Interaction Motion Control on Tri-finger Pneumatic Grasper using Variable Convergence Rate Prescribed Performance Impedance Control with Pressure-based Force Estimator

Irawan

Azahar

Pebrianti

2022

Journal of Robotics and Control

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Pneumatic robot is a fluid dynamic based robot system which possesses immense uncertainties and nonlinearities over its electrical driven counterpart. Requirement for dynamic motion handling further challenged the implemented control system on both aspects of interaction and compliance control. This study especially set to counter the unstable and inadaptable proportional motions of pneumatic robot grasper towards its environment through the employment of Variable Convergence Rate Prescribed Performance Impedance Control (VPPIC) with pressure-based force estimation (PFE). Impedance control was derived for a single finger of Tri-finger Pneumatic Grasper (TPG) robot, with improvement being subsequently made to the controller’s output by appropriation of formulated finite-time prescribed performance control. Produced responses from exerted pressure of the maneuvered pneumatic piston were then recorded via derived PEE with adherence to both dynamics and geometry of the designated finger. Validation of the proposed method was proceeded on both circumstances of human hand as a blockage and ping-pong ball as methodical representation of a fragile object. Developed findings confirmed relatively uniform force sensing ability for both proposed PEE and load sensor as equipped to the robot’s fingertip with respect to the experimented thrusting and holding of a human hand. Sensing capacity of the estimator has also advanced beyond the fingertip to enclose its finger in entirety. Whereas stable interaction control at negligible oscillation has been exhibited from VPPIC against the standard impedance control towards gentle and compression-free handling of fragile objects. Overall positional tracking of the finger, thus, justified VPPIC as a robust mechanism for smooth operation amid and succeed direct object interaction, notwithstanding its transcendence beyond boundaries of the prescribed performance constraint.

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“…Therefore, the enhancement of the PID with self-tuning technique and/or combination with artificial algorithm and/or optimal algorithm are widely studied in many research works such reviewed in [1]. An adaptive Fuzzy PID and a cascade Fuzzy self-adaptive PID were successfully applied to electro-pneumatic system and to the pneumatic actuator position in [7] and [2], respectively. A fuzzy-based fractional-order PID (FFOPID) controller has been applied in [8] for a robust performance with respect to load variation and external disturbances of a pneumatic pressure system.…”

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confidence: 99%

Development of Nonlinear Adaptive PI Controller For Improved Pneumatic Actuator System

Samsudin¹,

Sulaiman²,

Osman³

et al. 2022

IJIE

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The wide application of pneumatic actuator in electricalandelectronics sectors are undeniable hence ask for a good control environment.PID controller is always known with easy implementation and good control performance. Butthe limitation of the PID static gains to effectively control the complex nonlinear system is unavoidable. This suggests the enhancement of the PI controller with a nonlinear adaptive interaction algorithm (AIA) thus develop the nonlinear adaptive AIA PI. The modification is introduced by integrating a nonlinear gain function that adaptively tunes the AIA parameter, hence resulting the best tuning of the PI control gains. The nonlinearities inherent in the system parameters are believed to be handled by the integration, therefore improving the controller performances while maintaining the pneumaticactuator at the desired position. It was proved that improved error performance criteria’s, settling time and overshoot were resulted by the nonlinear adaptive AIA PI compared to fix adaptive AIA PI, and significantlygood compared to conventional PID and PI controllers. Besides, about 19.72%, 11.72%, and 0.22% overshoot were successfully reduced by the nonlinear adaptive AIA PI compared to optimal PSO PI, PSO PID, and PSO AIA, respectively. To conclude, the developmentof the proposed controller is demonstrated to function well and offers an alternative tuning strategy in other electrical and electronic engineeringapplications.

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Position Control of Pneumatic Actuator Using Cascade Fuzzy Self-adaptive PID

Cited by 6 publications

References 21 publications

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Interaction Motion Control on Tri-finger Pneumatic Grasper using Variable Convergence Rate Prescribed Performance Impedance Control with Pressure-based Force Estimator

Development of Nonlinear Adaptive PI Controller For Improved Pneumatic Actuator System

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