Dissertations / Theses on the topic 'Fractional PID controller'
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Ardinugroho, Servatius Bismanditio. "Implementation and Tuning of PID, Fractional PID and LA Controllers for pH Control." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38747.
Full textDomanský, Ondřej. "Syntéza obvodových prvků s fraktální dynamikou." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241035.
Full textLee, Yung. "Determination of all fractional-order PID controllers that meet specific stability, robustness, and performance requirements." Diss., Wichita State University, 2013. http://hdl.handle.net/10057/6384.
Full textLee, Yung K. "Determination of all fractional-order PID controllers that meet specific stability, robustness, and performance requirements." Diss., Wichita State University, 2013. http://hdl.handle.net/10057/6384.
Full textThesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
Fioravanti, André. "H∞ analysis and control of time-delay systems by methods in frequency domain." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00627352.
Full textLin, Jun-Hong, and 林峻弘. "Fuzzy Fractional PID Controller for DC Motor." Thesis, 2017. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22105CYCU5442045%22.&searchmode=basic.
Full text中原大學
電機工程研究所
105
This thesis introduces a new technology for the speed control of DC servo motor based on fractional-order proportional, integral and derivative (PID) control and fuzzy logic control. A new kind of PID controller, fractional-order PID controller, is proposed for controlling a DC servo motor. It is used not only for fractional-order systems but also for integer-order systems, and may have some superior performances compared with the classical integer-order PID controller. The computing method of fractional calculus is used to construct the fuzzy fractional PID controller in the experiment. Comparing these results with the traditional PID and fractional-order PID control methods, the proposed new control method has the better effect for improvement of settling time and overshoot.
Liao, Guan Wei, and 廖冠瑋. "Design of Robust Fractional Order PID Controller for Vector-Controlled Induction Motor Drives." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/16498544564762173564.
Full text長庚大學
電機工程學研究所
96
The main propose of this thesis is to design a robust fractional-order PID speed controller for vector-controlled induction motors, where possible parameter variations, load disturbance and model uncertainties are considered. The required parameters of the fractional-order PID controller can be obtained by utilizing Matlab optimization toolbox, in which phase margin, gain crossover frequency, high-frequency noise and low-frequency disturbance rejection are performance of concern. In the analysis and design of robustness, an equivalent rational model of fractional-order PID is adopted, while in the stage of implementation, an equivalent discrete model is utilized. In the thesis, simulations are performed by Matlab/Simulink, and a DSP/FPGA-based experimental platform is used for experiment verification. From simulation and experimental results, compared to the conventional PID controller, the proposed robust fractional-order PID controller can provide better control performance subject to parameters variations and load disturbances.
Chen, Wei-Huang, and 陳偉煌. "Fuzzy Fractional Order PID Controller Design Using Internal Model Concept." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/88v33j.
Full text國立高雄應用科技大學
電機工程系博碩士班
103
Fractional order PID controller design for Fractional order systems using internal model method is studied in this thesis. A fuzzy inference system is added into the controller to adjust the parameters increasing the performances. Compared to the traditional PID controllers, the obtained performance using the modified fuzzy time-varying PID controller is improved. The analysis of numerical simulations demonstrates the effectiveness.
HUANG, DE-YI, and 黃得益. "Optimal Design of Fractional Order PID Controller Using Genetic Algorithm." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/5ugjkp.
Full textChou, Yung-Chi, and 周永吉. "Fractional Order PID Controller Design via Bode Diagram and Nyquist Plot." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/nj6rwz.
Full text國立高雄應用科技大學
電機工程系博碩士班
103
The Nyquist plot of the system is shifted such that a point-to-point relations at ∠G(jω)=-180° and |G(jω)|=1 conditions as well as a system of algebraic equations can be obtained to solve for the parameters of an FOPID controller. The parameters Kp, Ki, Kd, λ (the integrating order) and μ (the derivative order) of an FOPID controller are properly selected to achieve desired gain margin and phase margin, to obtain a flat phase curve at the crossover frequency, and to increase the robustness property against the plant parameter variations. The searching of the optimal controller parameters is accomplished using PSO (particle swarm optimization) technology. Numerical simulations demonstrated the optimal parameters can be obtained using this method.
Hung, Shih-Ying, and 洪世穎. "Positioning of a Rotary Pendulum Using a Fractional-Order PID Controller." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/05562544685991444274.
Full text南臺科技大學
機械工程系
104
PID controllers have been successfully used in versatile applications, especially with the aid of available mature tuning methods such as the Ziegler-Nichols method. Recently, fractional order PID controllers were proposed after a series of researches on fractional calculus. It is intriguing for the flexibility of the adoption of fractional order which is free from the limit of integer order. This thesis studied the fractional order PID controller of different fraction order applied in a rotary pendulum driven by a DC motor. The simulation and experimental results show that the fractional order PID controllers are promising compared to the integer PID controllers.
"Fractional Order PID Controller Tuning by Frequency Loop-Shaping: Analysis and Applications." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.46202.
Full textDissertation/Thesis
Doctoral Dissertation Electrical Engineering 2017
HUANG, ZU-BIN, and 黃祖斌. "Optimal Design and Application of Fractional Order PID Controller for Electrostatic Precipitator." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/74367162377506207561.
Full text國立高雄應用科技大學
電機工程系博碩士班
105
A coal-fired power plant’s automatic control system for electrostatic precipitator (ESP) currents that influences opacity was studied. In this study, in-stack opacity of flue gases was correlated with emission particle density and ESP current loads to determine optimal ESP currents for removing pollutant particles from flue gases. The parameters of an FOPID controller are properly selected to achieve desired gain margin and phase margin, to obtain a flat phase curve at the plant parameter variations. The searching of the optimal controller parameters is accomplished using Genetic Algorithm (GA) technology. Numerical simulations demonstrated the optimal parameters can be obtained using this method. The results show that proper control of ESP current, stack opacity can be increased to 33.8%. These levels are still EPA-compliant when parameters include the moisture. This result provides useful information for monitoring particulate emissions through opacity, effectively adjusting ESP current based on opacity instruments.
Xu, Shao-Hong, and 徐韶鴻. "Design of Fractional-Order PID Controller for a Fractional Order Systems Using Modified Particle Swarm Optimization Approach." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/4t826t.
Full text國立高雄應用科技大學
電機工程系博碩士班
103
A optimal Fractional Order controller design problem is studied in this thesis, the particle swarm optimization method is used to search the best parameters of the FO controllers. Among different particle swarm optimization methods, this study shows the one with time-varying acceleration coefficients and time-varying intertia weight could result in a smallest performance index, The result show that the modified PSO method is highly suitable for the searching for optimal controller parameters of the FO systems.
CHEN, LI-MING, and 陳力銘. "Optimal Design of Fractional Order PID Controller Using K-means Grey Wolf Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/vkbezs.
Full text國立高雄應用科技大學
電機工程系博碩士班
106
This thesis combines K-means clustering method with Grey Wolf Optimization(GWO) to design fractional-order PID (FOPID) controller, and the FOPID controller designed for four different systems: (1)single-input single-output(SISO) low-order sysyem(2)single-input single-output fractional-order system(3) Non-minimum Phase(NMP) system with Deley (4)airplan’s pitch angle controller. When using optimization approaches to design PID controller parameters, most of the optimization approaches often get into the trouble of the local optimal solution. This thesis combines K-means clustering method with Grey Wolf to improve global search and slow convergence of grey wolf algorithms and improve the efficiency of the algorithm to find the best FOPID controller. Finally, the numerical simulation and analysis using Matlab software and to compare the performance of the four different types of systems with that of the controllers in the references respectively in order to verify the validity and excellence of the proposed methods in this thesis.
XUE, REN-CHENG, and 薛人誠. "Optimal Design of H2/H∞ PID Controller by Using Fractional-order Particle Swarm Optimizer." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5e6md8.
Full text國立高雄科技大學
電機工程系
107
In this paper, an improved fractional order particle swarm optimizer (FPSO) is applied to optimize a hybrid H2/H∞ PID controller optimization design problem for H∞ controller with robust stability and anti-jamming performance, and for H2 controller with robust optimal control performance. PSO is one of the most typical swarm intelligence algorithms that imitate animal behaviors. Because of its intuitive concept, easy implementation and high efficiency, PSO has been widely used in many optimization problems. In recent years, scholars began to study a fractional architecture of swarm intelligent algorithm, and propose FPSO. Because FPSO can more accurately describe the evolution of real swarm intelligence in nature, FPSO can increase the diversity of computation methods. At the same time, it also needs not to spend a lot of complex calculation procedures, so that better computational results can be obtained. To search the optimal combination of λ, α, β, γ in this improved FPSO quickly and efficiently, uniform design (UD) is adopted. This improved FPSO with UD be called Adaptive uniform design FPSO (AUFPSO). In the experiment, in order to obtain the optimal design parameters of hybrid H2/H∞ PID controller, AUFPSO and hybrid Taguchi-genetic algorithm (HTGA) are used for deal with and comparison. Experimental results show that the stability and convergence of parameters for hybrid H2/H∞ PID controller obtained by AUFPSO are superior to by HTGA.
CHEN, CHI-CHE, and 陳繼哲. "Robust Design and Application of Hybrid Taguchi-Genetic Algorithm for Fractional Order PID Controller." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/63302936087498887329.
Full text國立高雄應用科技大學
電機工程系博碩士班
105
The fractional-order PID (FOPID) controller is designed by the hybrid Taguchi-genetic algorithm (HTGA) combining genetic algorithm (GA) with Taguchi method in this thesis, and this FOPID controller is applied to the different systems: single-input single-output (SISO) stable system, SISO unstable system, stable systems with time delay and high-dimensional system. The comparisons between HTGA and GA designs are presented, and the results reveal the superiority of the proposed method. Generally, the optimization approach is usually used to design the parameters of the PID controller in order to achieve better control performance. However, most of the optimization approaches often meet the trouble of being the local optimal solution. In this thesis, the proposed HTGA method can enhance the global exploration capability and the robustness property of the solution to find a better FOPID controller. In addition, if a design with the tolerance is considered, the designed FOPID controller with HTGA can still keep good performance even though the system is under uncertainties. Finally, the effectiveness of the proposed method is verified via a FOPID robust controller using tolerance design to control the electrostatic precipitator (ESP) current for opacity which is an SISO stable system.
CHEN, PO-HAN, and 陳柏翰. "Optimal Improvement of Fractional Order PID Controller for Diesel Engine on Promoting Performance and Efficiency." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/wcwy4s.
Full text國立高雄應用科技大學
電機工程系博碩士班
105
In this study, a marine diesel engine of optimum operating conditions for superior engine performance and lower emission is researched. The experimental results showed that the lowest fuel oil consumption rate is occurred at 100% engine load. The corresponding scavenging pressure, engine speed, fuel-injection timing, engine torque, and brake horse power (BHP) under such engine operating conditions were 195.6 g/kW-hr, 0.22 MPa, 800 rpm, 20.8°, 8787.01 N-m, and 9815.2 HP, respectively. The engine operating parameters were adequately adjusted based on the results of both experimental analysis and model simulation in order to acquire superior engine performance and efficiency. The results could be provided a valuable reference for marine engine industry to improve the main engine performance and low emissions of air pullouts.
Jiang, Min-Zuo, and 姜泯佐. "Fractional Order PID Controller Design Based on K-means Average PSO Algorithm with Chaotic Characteristics." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2mc3r9.
Full text國立高雄應用科技大學
電機工程系博碩士班
106
This thesis uses Particle Swarm Optimization (PSO) combined with the Average Method, K-means Clustering Method and the Chaotic Characteristics Method, to design a Fractional PID Controller (FOPID) for actual cases with simulation and comparison with Traditional Particle Swarm Algorithm, and to verify the superiority of the design method proposed in this thesis. Using the PSO algorithm to design parameters of the PID controller, which is easy to fall within the search range, local optimal solution and can’t solve the problem of high dimensions; therefore, by adding the average method, having chaotic characteristics and K-means Clustering Method; use these methods to solve the problems of Particle Swarm Algorithm, to improve the search for the best solution, improve the robustness of the solution and to design a better performance fractional PID controller. Finally; this thesis designs parameters for the actual four SISO system and verifies the effectiveness of the method proposed in this thesis.
Huang, I.-TAI, and 黃億泰. "Optimal Fractional Order PID Controller Design for Disturbance Rejection Using Genetic Algorithm Under the Complex Environments." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2cwy7d.
Full text國立高雄應用科技大學
電機工程系博碩士班
105
This paper exploits the ability of approximating the high order transfer function of a fractional order PID controller, and searches the optimal parameters of the fractional order PID controller using genetic algorithm to solve the robust disturbance rejection problem . In this paper, two different kinds of systems are considered: (1) Single-input single-output system, (2) Single-input single-output time-delay system. A suitable class of fitness functions for genetic algorithm are selected in this paper to design fractional order PID controller for single-input single-output system, and Single-input single-output time-delay system. Then, the numerical simulation using Matlab software is proceeded to investigate the performance of the two different kind of systems and to verify the validity of the proposed methods in this paper.
Cai, Yun-Lun, and 蔡昀倫. "Fractional Order PID Controller Design Using Hybrid Taguchi- Genetic Algorithm with Mixed H2/H∞ Performance Index." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/08144507884145909752.
Full text國立高雄應用科技大學
電機工程系博碩士班
105
This paper studies the parameter optimization problem of the fractional order PID controller ,which use Hybrid Taguchi-Genetic Algorithm with Mixed H2/H∞ Performance Index,and the FOPID controller is applied to the different systems:single-input single-output (SISO) stable systems and high-dimensionalsystem and uncertain singular systems. The intractable problem when using the optimal approach to design the parameters of the PID controller often get into the trouble of the local optimal solution; this thesis employs Hybrid Taguchi-Genetic Algorithm , which is able to effectively improve the global exploration capability ,and introduce mixed H2/H∞ performance index to achieve the robustness of the solution . Finally,the numerical simulation using Matlab software is proceeded to explore fractional order PID controller of this thesis approach ,conventional Genetic Algorithm and compared with existing methods ,to verify the validity and excellence of the proposed methods in this paper.
Wang, Yin-Teng, and 王寅騰. "Fractional IMC-PID-filter controllers design for processes with time delays." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4zva6d.
Full text國立臺北科技大學
化學工程與生物科技系化學工程碩士班
106
PID controllers are the most widely used controllers in the chemical process industries, and various model-based PID design methods can be found in the literature. A major drawback of the model-based PID design is that the effectiveness of the methods would degrade for higher-order process dynamic owing to the inevitable modeling error. However, in the pass two decades, fractional order systems (FOS) and fractional order proportional-integral-derivative (FOPID) controllers have received considerable attention. When the model identify to the type of the fractional order systems, it would shows better performance. To control the fractional order systems, FOPID have good performance. This study developed a new design method for a fractional order PID controller based on fractional order calculus and internal model control (IMC) architecture to deal with the fractional order plus time delay systems. The fractional order property is imposed by the open loop reference model L(s). The control loop is robustness because of the specification of the gain crossover frequency and the iso-damping property, when the gain change happened. In addition, the method of model identification is proposed. The high order process was approximated to the not integer order plus time delay model (NIOPTD-I). Later, we design the fractional order IMC controller based on this approximation model, then we can get the control dynamics of this high order process. At least, simulation studies demonstrate the effectiveness of the proposed design methodology.
Nasri, Mohamed Temam. "An improved approach for small satellites attitude determination and control." 2014. http://hdl.handle.net/1993/23574.
Full textTSAI, CHUN-YANG, and 蔡竣仰. "A Fractional Order PID Controllers Design Using Switching K-means and General Particle Swarm Optimization Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/c68apc.
Full text國立高雄應用科技大學
電機工程系博碩士班
106
In recent years, many evolutionary based on clustering algorithms have been developed for selecting the optimal clustering center to optimize the clustering results. Therefore, this thesis will use K-means algorithm, which is the most widely known in clustering methods and combining particle swarm optimization (PSO) to optimize design of fractional PID controllers. If just using the optimization method to design the parameters of the PID controller, it is often meet the problem of being the local optimum solution and to deal with the global exploration capability and the unsure of the complexity. Therefore, this thesis will apply the K-Means particle swarm algorithm to improve the global exploration capability of the particles and general particle swarm algorithm to solve common problems and switching design for different situation of system. The results as show that the effect of this method such as single-input single-output(SISO) stable systems, unstable systems、stable、unstable systems with time-delay systems and high-dimensional systems, etc.