scholarly journals Steady-State Integral Proportional Integral Controller for PI Motor Speed Controllers

2015 ◽  
Vol 15 (1) ◽  
pp. 177-189 ◽  
Author(s):  
Choon Lih Hoo ◽  
Sallehuddin Mohamed Haris ◽  
Edwin Chin Yau Chung ◽  
Nik Abdullah Nik Mohamed
2018 ◽  
Vol 152 ◽  
pp. 02010
Author(s):  
Kah Kit Wong ◽  
Choon Lih Hoo ◽  
Mohd Hardie Hidayat Mohyi

Due to its simplicity, Proportional-Integral (PI) controller still remains as the widely used controller for motor speed control system. However, PI controller exhibits windup phenomenon when the motor operates in a saturated state, which may cause degradation to the control system. In order to overcome the windup phenomenon, many researches have introduced various types of anti-windup methods such as the Conditioning Technique (CI), Tracking Back Calculation (TBC), Integral State Prediction (ISP), Steady-state Integral Proportional Integral Controller-01 (SIPIC01) and Steady-state Integral Proportional Integral Controller-02 (SIPIC02). These are anti-windup techniques with integral control switching mechanism, coupling of proportional gain, kp, and integral gain, ki. Due to the coupled kp and ki, tuning motor performance is a difficult task with short settling time without experiencing overshoot. SIPIC01 and SIPIC02 are robust anti-windup methods without a switching mechanism and exhibit decoupling feature. SIPIC01 and SIPIC02 have shown better dynamic performance compared to CI, TBC and ISP. However, SIPIC01 has not been compared to SIPIC02 in terms of their decoupling effect flexibility and dynamic performance. The decoupling effect was verified using MATLAB simulation, while the performance analysis was verified through hardware simulation and testing by using Scilab. The results obtained from the simulation showed that both SIPIC01 and SIPIC02 consist of decoupling features that allow a performance with coexistence of zero or minimum overshoot with short settling time. However, SIPIC02 consists of longer rise and settling time as compared to SIPIC01. Therefore, it can be concluded that SIPIC01 is better than SIPIC02 in term of dynamic performance.


This work examines the intrigues associated with the speed control of DC motor by nonlinear joint control of the voltage of the armature cum the field current in conjunction with the proportional integral controller. In the case of controlling the armature, the field current component is kept constant while the armature in contained with variable voltage. However, in the case of controlling the field, the voltage of the armature is kept constant while the field contends with a variable voltage. Both the field and the control of armature were used to acquire a DC motor speed control enhancement which offers a stability of the system. The proportional integral (PI) is for the purpose of extension for identification of better alternative. As consideration is given to the electrical, electromagnetic and the motional or mechanical arrangements, a model is developed for the separately excited DC motor (SEDM) which is mathematically analyzed. The originating models of the DC motor speed control schemes are simulated with the help of MATLAB/Simulink. The results obtained herein would be very useful for the control and process engineering oufits


Author(s):  
Viyils Sangregorio-Soto ◽  
Claudia L. Garzon-Castro ◽  
Gianfranco Mazzanti ◽  
Manuel Figueredo ◽  
John A. Cortes-Romero

Author(s):  
Mikuláš Huba ◽  
Igor Bélai

This article presents design and evaluation of filtered proportional–integral controllers and filtered Smith predictor–inspired constrained dead time compensators. Both are based on the integral plus dead time and on the first-order time delayed plant models. They are compared as for tuning simplicity, robustness and noise attenuation. Such a comparison, which presents a robustness test regarding the importance of the internal plant feedback approximation, may be carried out by performance measures built on deviations of the input and output transient responses from their ideal shapes. When combined with integral of absolute error measures of both solution types with the disturbance responses set as nearly equivalent, we can see that the filtered Smith predictor setpoint responses may be significantly faster than the filtered proportional–integral controller responses, more robust and, using higher-order filters, also sufficiently smooth. Furthermore, tuning of the possibly higher-order filters for filtered Smith predictor is simpler. Its overall design is more transparent and straightforward with respect to the control constraints, where the filtered Smith predictor requires some additional anti-windup measures.


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