Suitable PID Controller Research Articles

Parallel Distribution Compensation PID Based On Takagi-Sugeno Fuzzy Model Applied On DC Motor

Most of the industrial controllers in use today utilize PID controllers. In this paper, a new Parallel Distribution Compensator PID'S controller at several operating points, under parameters variations and external disturbances for the DC motor drive system. The parameters of PID's controllers were obtained at each operating point based on harmony search optimization. An effective cost function was used to perform the offline optimization. Three optimal PID's controllers were attained for each operating point individually. The fuzzy Takagi-Sugeno (TS) can be defined as the suitable PID controller for the corresponding operating point. The simulation results provided that Parallel Distribution Takagi-Sugeno PID's controller can be updated the suitable PID controller at several operating points so, it has good dynamic response with different types of disturbances (sudden load, variable load, and speed tracking) compared to the fixed optimal PID controller. Also, it can switch the better PID controller at a suitable time.

Parallel distribution compensation PID based on Takagi-Sugeno fuzzy model applied on egyptian load frequency control

This paper presents a new technique for a Takagi-Sugeno (TS) fuzzy parallels distribution compensation-PID'S (TSF-PDC-PID'S) to improve the performance of Egyptian load frequency control (ELFC). In this technique, the inputs to a TS Fuzzy model are the parameters of the change of operating points. The TS Fuzzy model can definite the suitable PID control for a certain operating point. The parameters of PID'S controllers are obtained by ant colony optimization (ACO) technique in each operating point based on an effective cost function. The system controlled by the proposed TSF-PDC-PID’S is investigated under different types of disturbances, uncertainty and parameters variations. The simulation results ensure that the TSF-PDC-PID'S can update the suitable PID controller at several operating points so, it has a good dynamic response under many types of disturbances compared to fixed Optimal PID controller.

Dynamic Modelling and Control Design for a Vehicle in its Longitudinal Motion

Background/Objectives: The purpose of developing a model based control study is to understand the longitudinal dynamics in detail. This paper develops mathematical model of longitudinal dynamics of the vehicle and develops a suitable control methodology to have a reliable safe system. Methods/Statistical Analysis: Here the longitudinal dynamics of the system is modeled using white box modeling and suitable PID control algorithm is developed to have a stable dynamics of the systems. To develop the required model Physical laws of equations are used. Findings: For a tuned PID controller, the system stayed within the set point of acceleration and the change in throttle has not affected the system’s velocity and acceleration. Applications/Improvements: This model can be imparted in the driverless car models for complete analysis. Modern control methodologies can be developed for the developed model to have a better performance.Keywords: Longitudinal Dynamics, Longitudinal Motion, Mathematical Model, Physical Laws of Equations, PID Control, White Box Modeling

PID Controller Design for “in vitro” Exposure System at Mobile Phone Frequencies

In the recent years, the analysis of the possible dangerous biological effects of electromagnetic fields at mobile phone frequencies has become of relevant interest for the scientific community. The availability of a controlled exposure system may help in performing meaningful experiments. To this aim, a suitable PID control is designed starting from a mathematical model of the exposure system. Both the structure and the parameters of the proposed model are derived directly from the experimental results. The effectiveness of the controller is also demonstrated via experimental evaluations.

Modeling and control of a PEM fuel cell based hybrid multilevel inverter

Multilevel inverter is an effective and practical solution for increasing power demand and reducing harmonics of AC waveforms. It is mainly employed in the distributed energy sources area because several batteries, fuel cell and solar cell can be connected through multilevel inverter to feed a load. This paper investigates the potentials of a single-phase Hybrid Cascaded Multilevel Inverter (HCMLI) fed from Proton Exchange Membrane Fuel Cell (PEMFC). A mathematical model of the PEMFC supplying HCMLI has been developed. This paper also presents the effect of a novel hybrid modulation on the device switching losses and harmonics of HCMLI. The proposed hybrid modulation technique combines the fundamental frequency switching scheme and Variable Frequency Inverted Sine Pulse Width Modulation (VFISPWM) technique. A comparison between the hybrid modulation strategy and the conventional Phase Disposition (PD) PWM method is also presented in terms of THD and switching losses. A suitable PID controller has been designed to control the output voltage of fuel cell based HCMLI, so that it can provide constant AC voltage with minimum THD up to the rated conditions. The inverter circuit topology and its control scheme are described in detail and their performance is verified based on simulation and experimental results.

PH Control Using a Commercial PID Controller with Gap Action

pH control is recognized as a challenging and industrially important problem due to its highly nonlinear and time-varying characteristics. In the literature it is well known that the traditional PID controller gives a poor performance in controlling pH processes. This article studies the practical implementation problems of a commercial PID controller with gap action for the control of pH. Design principles and tuning procedures are proposed first by introducing the gap action to incorporating the high nonlinearity of the pH processes. Then the parameter tuning curve of the gap action is developed over a large operating range of pH. Therefore, the typical minimum error integral tuning formulas can be directly used to set the suitable PID controller parameters. Simulation results demonstrate satisfactory performance of the proposed pH control strategy.

Tuning of PID controllers for unstable processes based on gain and phase margin specifications: a fuzzy neural approach

This paper presents a PID tuning method for unstable processes using an adaptive-network-based-fuzzy-inference system (ANFIS) for given gain and phase margin (GPM) specifications. PID tuning methods are widely used to control stable processes. However, PID controller for unstable processes is less common. In this paper, the PID controller parameters can be determined by the ANFIS. Because the definitions of gain and phase margin equations are complex, an analytical tuning method for achieving specified the gain and phase margins is not yet available. In this paper, the ANFIS is adopted to identify the relationship between the gain-phase margin specifications and the PID controller parameters. Then, it is used to automatically tune the PID controller parameters for different gain and phase margin specifications so that neither numerical methods nor graphical methods need be used. A simple method is also developed to estimate the stabilizing region of PID controller parameters and valid region for gain-phase margin. Even for unreasonable specifications, out of the valid region, the ANFIS can still find suitable PID controller to guarantee the stability of the closed-loop system. Simulation results show that the ANFIS can achieve the specified values efficiently.

Wheel Slip Control by Means of Sluggish Actuators

A wheel slip control algorithm for use with electromechanical brake actuators is developed. It is demonstrated how a not suitable pid control algorithm can be improved and stabilized. For this the integrational part of the controller is substituted by some calculations based not only on the control variable (the wheel speed) but on the output of the setting element (the sensed clamping force), too.

Generierung kennliniengleicher Fuzzy-Regler aus den Parametern konventioneller (PID-) Regler

Article Generierung kennliniengleicher Fuzzy-Regler aus den Parametern konventioneller (PID-) Regler was published on December 1, 1994 in the journal at - Automatisierungstechnik (volume 42, issue 1-12).