A study on tracking peformance of the pneumatic system with enhanced NPID controller

Salim, Syed Najib Syed; Amran, Aliza Che; Faudzi, Ahmad Athif Mohd; Ismail, Zool Hilmi; Rahmat, M. F.; Sunar, Noorhazirah; Shamsudin, Shamsul Anuar

doi:10.1109/ascc.2015.7244442

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…T-NPID shows a significant improvement of the transient responses over the classical PID, especially to the Maximum overshoot, CMAX, corresponding to the reduction and improvement of Percent overshoot, % OS. The results parallel with the nonlinear PID controller's response as presented by Salim et al [22] and Jamian et al [23], where the overshoot is drastically reduced.…”

Section: Simulation Analysissupporting

confidence: 76%

“…No nonlinear-PID (N-PID) based controllers have been successfully developed adapting friction compensating modules. Some examples of N-PID, such as [22] developed an enhanced self-regulating nonlinear PID (SN-PID) in which the nonlinear function's variables were designed to be adaptive using a self-regulating function. The same author also developed a multi-rate nonlinear PID (MN-PID), where the nonlinear function varies with the control of fuzzy logic and the disturbance compensated is the valve dead zone.…”

Section: Introductionmentioning

confidence: 99%

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Triple Nonlinear Hyperbolic Pid With Static Friction Compensation for Precise Positioning of a Servo Pneumatic Actuator

Kamaludin¹,

Abdullah²,

Salim³

et al. 2023

IIUMEJ

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Accurate and precise positioning control is critical in designing a positioning servo pneumatic system. The internal friction force of the pneumatic is one of the disturbances that make it challenging to achieve accurate and precise positioning. Dynamic friction identification and modelling are usually very complex and computationally exhaustive. In addition, pneumatic actuators are nonlinear systems, and applying linear control to the system is a mismatch. This study proposes an enhanced triple nonlinear hyperbolic PID controller with static friction (T-NPID+FSS) feedback module. T-NPID is integrated with nonlinear hyperbolic functions at each PID gain, hence the name. The reference in designing the T-NPID is the Popov stability criterion. Meanwhile, static friction (comparatively more straightforward than dynamic friction) is identified by measuring the actuator's internal friction at various velocities and applying it to the static friction model. T-NPID+FSS is compared to a classical PID, a PID with static friction (PID+FSS), and T-NPID without the friction module. With the comparisons, the performance gains of each module are clear. While most previous research focuses on the sinusoidal wave tracking performance (measuring the maximum tracking error, MTE, and root mean square error, RMSE), the analysis in this research focuses on obtaining precise positioning; steady-state analysis is the primary measurement. However, transient response and integral of absolute error (IAE) analysis are also observed to ensure no significant drawback in the controller's performance. T-NPID+FSS achieved the best precise positioning control, with 88.46% improvement over PID, 71.15% over PID+FSS, and 59.46% over T-NPID. The final controller is also on par with T-NPID for transient responses compared to the base PID. Although the FSS model caters to friction compensation, optimizing the FSS parameter by applying artificial intelligence, such as Neural Networks (NN) and Genetic Algorithm (GA), will increase the friction modeling‘s accuracy, and improve the compensation. ABSTRAK: Kawalan kedudukan yang tepat dan jitu adalah kitikal dalam mereka bentuk sistem pneumatik servo penentududukan. Daya geseran dalaman pneumatik adalah salah satu gangguan yang menyukarkan untuk mencapai kedudukan yang tepat dan jitu. Penentuan daya geseran dinamik dan pemodelannya selalunya kompleks dan pengiraan menyeluruh yang sukar. Selain itu, pneumatik ialah sistem tak linear, menggunakan kawalan linear pada sistem adalah tidak padan. Kajian ini mencadangkan PID hiperbolik tiga fungsi tak linear yang dipertingkatkan dengan modul suapan-balik geseran statik (T-NPID+FSS). T-NPID diintegrasikan dengan tiga fungsi hiperbolik tidak linear pada setiap pendarab PID, member pada nama. T-NPID direka bentuk dengan kriteria kestabilan Popov. Manakala geseran statik (secara perbandingan lebih mudah daripada geseran dinamik) dikenal pasti dengan mengukur geseran dalaman penggerak pada pelbagai halaju dan menerapkannya pada model geseran statik. T-NPID+FSS dibandingkan dengan PID klasik, PID dengan geseran statik (PID+ FSS) dan T-NPID tanpa modul geseran. Dengan perbandingan, prestasi peningkatan setiap modul adalah jelas. Walaupun kebanyakan penyelidikan terdahulu memfokuskan pada prestasi penjejakan gelombang sinusoidal (mengukur ralat penjejakan maksimum, MTE dan ralat purata kuasa dua akar, RMSE), analisis kajian ini memberi tumpuan kepada mendapatkan kedudukan yang tepat; oleh itu, analisis keadaan akhir ialah ukuran utama. Walau bagaimanapun, tindak balas sementara dan analisis kamiran ralat mutlak (IAE) juga diperhatikan untuk memastikan tiada kelemahan ketara dalam prestasi pengawal. T-NPID+FSS mencapai kawalan penentududukan tepat terbaik, dengan peningkatan 88.46% berbanding PID, 71.15% berbanding PID+FSS dan 59.26% berbanding T-NPID. Pengawal yang dicadangkan juga setanding dengan T-NPID untuk respons sementara berbanding PID asas. Walaupun model FSS telah ditunjukkan untuk memenuhi pampasan geseran, mengoptimumkan parameter FSS dengan menggunakan kecerdasan buatan (artificial intelligence, AI) seperti Neural Networks, NN dan Genetic Algorithms, GA akan meningkatkan ketepatan dan pampasan pemodelan geseran.

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Section: Simulation Analysissupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Triple Nonlinear Hyperbolic Pid With Static Friction Compensation for Precise Positioning of a Servo Pneumatic Actuator

Kamaludin¹,

Abdullah²,

Salim³

et al. 2023

IIUMEJ

View full text Add to dashboard Cite

show abstract

“…In a subsequent study, an enhanced nonlinear PID (ENPID) once again was proposed in 2015 [34]. The controller consists of two different control strategies, namely multi-nonlinear (MN-PID) controller and self-regulation (SN-PID) controller.…”

Section: Controller Design Based On Proportional Integral Derivatives...mentioning

confidence: 99%

Review on controller design in pneumatic actuator drive system

et al. 2020

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A pneumatic actuator is a device that converts compressed air into mechanical energy to perform varieties of work. It exhibits high nonlinearities due to high friction forces, compressibility of air and dead band of the spool movement which is difficult to manage and requires an appropriate controller for better performance. The purpose of this study is to review the controller design of pneumatic actuator recommended by previous researchers from the past years. Initially, the basic views of the pneumatic will be presented in terms of introduction to the pneumatic actuator and its applications in industries. At the end of this review, discussions on the design of the controllers will be concluded and further research will be proposed along with the improvement of control strategies in the pneumatic actuator systems.

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“…Some improvements have been made on the most wellknown classical PID controller, as reported in Syed Salim et al (2014, Salim 2015, Ren et al 2019b, Skarpetis et al 2016 solving high nonlinearity of servo pneumatic position control. However, it is insufficient to solve the nonlinearity in a pneumatic valve that are caused by the valve friction, dead-zone, hysteresis effect, and variation of flow coefficient (Krivts and Krejnin 2006).…”

Section: Problem Statements In Pneumatic Precision Of Motionmentioning

confidence: 99%

Cascade Control Strategy on Servo Pneumatic System with Fuzzy Self-Adaptive System

Irawan

Azahar

2020

J Control Autom Electr Syst

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Servo pneumatic position control has gained considerable attention due to its superiority in improving the precision of automation and mechatronic systems. This paper presents the proposed cascaded fuzzy self-adaptive with proportional, integral, and derivative (CFSAPID) control strategy in providing an accurate rod-piston displacement as desired input with stable pressure in chambers. Unlike the conventional cascade strategy, the control law of proposed CFSAPID was designed based on the Mamdani-type fuzzy approach as a dynamic tuner to each stage in the proportional, integral, and derivative (PID) controller that deals with the nonlinearity of servo pneumatics adequately. The bounder sector zone of Mamdani-type fuzzy was determined based on position and velocity states on servo pneumatic rod-piston, and the parameter was constructed to obtain the optimum gain parameters of PID in each stage. The proposed CFSAPID was verified using a pneumatic proportional valve with a double-acting cylinder dynamic model plant. Simulation and analyses were emphasized on steady-state error, difference in pressures of pneumatic cylinder's chambers, hysteresis effect, tuning parameters convergence, performance criteria, and performance indices. The results show that the proposed CFSAPID controller was able to withstand the load disturbances, at variable input trajectory with a stable pressure in chambers at almost minimum hysteresis effect compared to the FSAPID and single PID controllers.

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A study on tracking peformance of the pneumatic system with enhanced NPID controller

Cited by 4 publications

References 11 publications

Triple Nonlinear Hyperbolic Pid With Static Friction Compensation for Precise Positioning of a Servo Pneumatic Actuator

Triple Nonlinear Hyperbolic Pid With Static Friction Compensation for Precise Positioning of a Servo Pneumatic Actuator

Review on controller design in pneumatic actuator drive system

Cascade Control Strategy on Servo Pneumatic System with Fuzzy Self-Adaptive System

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