Design of Adaptive I-PD Control Systems using Augmented Error Method

Shiota, Tsuyoshi; Ohmori, Hitoshi

doi:10.3182/20120328-3-it-3014.00009

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…The tuning process was focused to search the optimal controller parameters by minimizing the multiple objective performance criterions. Shiota and Ohmori [34] proposed adaptive I−PD control systems based on augmented error method for multi-input multi-output (MIMO) systems. Mochizuki and Ichihara [35] proposed a design method of I−PD control based on the generalized KalmanYakubovich-Popov lemma for ball and plate system without investigating the effect of spikes in control signal during the disturbance at the system output.…”

Section: Introductionmentioning

confidence: 99%

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

Kumar

Rana

2016

Int. J. Autom. Comput.

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Proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative (PID) controller due to a sudden change in reference set-point is generally undesired in process industry. Therefore, the structure of conventional parallel PID controller is modified to integral minus proportional derivative (I−PD) controller. In this paper, three hybrid fuzzy IPD controllers such as a fuzzy I−fuzzy PD (FI−FPD) controller and its hybrid combinations with its conventional counterpart such as fuzzy I−PD (FI−PD) and I−fuzzy PD (I−FPD) are presented in view of above industrial problem. These controllers are based upon the counterpart conventional I−PD controller and contains analytical formulae. Computer simulations are carried out to evaluate the performance of hybrid fuzzy controllers along with conventional I−PD and PID controllers for set-point tracking and disturbance rejection for an induction motor in closed loop using LabVIEW TM environment. The gains of conventional and hybrid fuzzy controllers are tuned using genetic algorithm (GA) for minimum overshoot and settling time. It has been observed that hybrid fuzzy controllers along with the conventional I−PD controller significantly remove the kick from the control action in reference set-point tracking. However, in disturbance rejection, I−PD and FI−PD controllers fail to eliminate the kick from the control signal. In contrast, FI−FPD and I−FPD controllers considerably reduced spikes from the control action in disturbance rejection. Among the conventional and hybrid fuzzy IPD controllers, FI−FPD demonstrates much better set-point tracking and disturbance rejection response with spike free control action.Keywords: Proportional plus integral plus derivative (PID), integral minus proportional derivative (I−PD), hybrid fuzzy IPD controller, proportional kick, derivative kick.

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Section: Introductionmentioning

confidence: 99%

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

Kumar

Rana

2016

Int. J. Autom. Comput.

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“…Shiote and Ohmori (2012) proposed an adaptive I-Pd controller using augmented error method for SISO systems. They demonstrated the effectiveness of their method through simulation results [12]. Cbecinhas, Cunha and Silvestre (2013) proposed a nonlinear adaptive stable feedback controller to steer a quadrator vehicle along a predefined path.…”

Section: Introductionmentioning

confidence: 99%

Controller Tuning for Disturbance Rejection Associated With Delayed Double Integrating Processes, Part Ii: I-Pd Controller

Hassaan

2020

EIJSE

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An I-PD controller is investigated for disturbance rejection associated with delayed double integrating processes. The controller is tuned using the MATLAB optimization toolbox and five different error-based objective functions for process time delay between 0.1 and 5 s. The more suitable objective function for disturbance rejection with the I-PD controller used with the delayed double integrating process is assigned and the effect of the process time delay on the performance of the control system in the time domain is shown. The unit step disturbance input time response of the control system has a maximum value less than 0.431, time of maximum time response less than 1.01 s and a settling time less than 15 s for time delay ≤ 1 s. The simulation results using the I-PD controller are superior when compared with other disturbance rejection techniques based on using PD-PI and PIDF controllers.

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Multivariable Online Adaptive PID Controller for Plasma Current, Shape, and Position in Tokamaks

2016

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Design of Adaptive I-PD Control Systems using Augmented Error Method

Cited by 7 publications

References 9 publications

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

Controller Tuning for Disturbance Rejection Associated With Delayed Double Integrating Processes, Part Ii: I-Pd Controller

Multivariable Online Adaptive PID Controller for Plasma Current, Shape, and Position in Tokamaks

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