Jongkol Ngamwiwit

Bio: Jongkol Ngamwiwit is an academic researcher from King Mongkut's Institute of Technology Ladkrabang. The author has contributed to research in topics: Control theory & PID controller. The author has an hindex of 10, co-authored 57 publications receiving 274 citations.

Hybrid Controller for Swinging up Inverted Pendulum System

Abstract: A hybrid controller for swinging up inverted pendulum system is proposed in this paper. The controller composes of two parts. The first part is the PD position control for swinging up the pendulum from the natural pendent position by moving the cart back and forth until the pendulum swings up around the upright position. The second part is a servo state feedback control designed by LQR which will be switched to stabilize the inverted pendulum in its upright position. The effectiveness and reliability of the proposed hybrid controller for swinging up inverted pendulum on cart are also shown by the experimental results

Application of coefficient diagram method for rotational inverted pendulum control

Abstract: In this paper, a design of the augmented state feedback controller by using the concept of coefficient diagram method (CDM) for a servo type of the rotational inverted pendulum system is presented. An integrator is augmented to the system due to the responses exhibiting steady-state error. In order to apply the CDM method, the augmented system must be firstly linearized and converted into controllable canonical form by a transform matrix. Then a feedback gain matrix in sense of CDM can be obtained. One can observe that the design procedure of the proposed controller is easy compared to other methods. The experimental results are shown in order to verify the effectiveness of the controller.

I-PD and PD controllers designed by CRA for overhead crane system

Abstract: An overhead crane system controlled by an I-PD controller incorporating with PD controller is presented in this paper. The characteristic ratio assignment method is employed to design the I-PD controller and the PD controller for controlling the position of trolley and for controlling the load swing angle of the overhead crane system, respectively. Using the concept of characteristic ratio assignment method, the speed of the step response can also be increased by using a design factor k. The simulation results show that the step response can reach to the desired position without overshoot and with small load swing angle. The slightly change of the step responses when changing the parameters of the overhead crane system are also shown. The simulation results also show that when the speed of the step response is increased, the load swing angle is large related to the speed increased while the disturbance effect rejection is fast.

Torsional resonance suppression via pida controller

Abstract: A servo motor driving a load through a long shaft or transmission system is widely used in industries. Such a system encounters performance degradation caused by non-homogeneous twist of the shaft. This phenomenon is referred to as torsional resonance. This article describes our work to suppress torsional resonance in a 2-inertia system using accelerated-proportional-integral-derivative (PIDA) controller. A system model obtained from nonparametric identification is the basis for our controller design. We have shown herein with simulation results that our proposed method is very effective for torsional resonance suppression. Fast transient and disturbance rejection can be achieved.

Fuzzy I-PD Controller for Level Control

Abstract: This paper introduces a level control system using a fuzzy I-PD controller. The proposed controller composes of Mamdani fuzzy I and Mamdani fuzzy PD controllers and is adjusted to meet the desired control system performances both in transient state and steady state. The simulation results in controlling the level processes by using the fuzzy I-PD controller with the same parameters (proportional gain, integral gain and derivative gain) as the conventional I-PD controller are shown in this paper.

Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters

Abstract: This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters. An adaptation tuning approach without high- frequency switching is developed to deal with unknown but bounded system uncertainties. Tracking performance is guaranteed. System robustness, as well as stability, is proven by using the Lyapunov theory. The upper bounds of uncertainties are not required to be known in advance. Therefore, the proposed method can be effectively implemented. Experimental results demonstrate the effectiveness of the proposed control method.

Fuzzy-tuned PID Anti-swing Control of Automatic Gantry Crane

Abstract: Anti-swing control is a well-known term in gantry crane control. It is designed to move the payload of gantry crane as fast as possible while the payload swing angle should be kept as small as possible at the final position. A number of studies have proposed anti-swing control using the well-known proportional, integral, derivative (PID) control method. However, PID controllers cannot always effectively control systems with changing parameters. Some studies have also proposed intelligent-based control including fuzzy control. However, the designers often have to face the problem of tuning many parameters during the design to obtain optimum performance. Thus, a lot of effort has to be taken in the design stage. In this paper Fuzzy-tuned PID controller design for anti-swing gantry crane control is presented. The objective is to design a practical anti-swing control which is simple in the design and also robust. The proposed Fuzzy-tuned PID utilizes fuzzy system as PID gain tuners to achieve robust performance to parameters’ variations in the gantry crane. A complex dynamic analysis of the system is not needed. PID controller is firstly optimized in MATLAB using a rough model dynamic of the system which is identified by conducting a simple open-loop experiment. Then, the PID gains are used to guide the range of the fuzzy outputs of the Fuzzy-tuned PID controllers. The experimental results show that the proposed anti-swing controller has satisfactory performance. In addition, the proposed method is straightforward in the design.

Tuning fuzzy PD and PI controllers using reinforcement learning.

Abstract: In this paper, we propose a new auto-tuning fuzzy PD and PI controllers using reinforcement Q-learning (QL) algorithm for SISO (single-input single-output) and TITO (two-input two-output) systems. We first, investigate the design parameters and settings of a typical class of Fuzzy PD (FPD) and Fuzzy PI (FPI) controllers: zero-order Takagi-Sugeno controllers with equidistant triangular membership functions for inputs, equidistant singleton membership functions for output, Larsen's implication method, and average sum defuzzification method. Secondly, the analytical structures of these typical fuzzy PD and PI controllers are compared to their classical counterpart PD and PI controllers. Finally, the effectiveness of the proposed method is proven through simulation examples.

Power electronic converter and system control

Abstract: This paper deals with modern control systems technology that is frequently applied to power conversion systems. The discussion goes far beyond the basic level of switch control in switching regulators. System-level control issues are important in expanding the market base of power electronics. Improvement in system performance involves not only the use of advanced control techniques, but also the integration of several converters or converter systems into a larger system. A fully controlled rectifier and an induction motor drive system are presented as typical applications to illustrate the use of many techniques for controlling power converters. The paper then points out how a wide variety of control techniques can be applied to enhance the controller performance and bandwidth in power electronics. These techniques include observers and adaptive control, nonlinear control, sliding and dead-beat control, and intelligent control. Finally, the paper points out how power electronic system performance can be enhanced through the use of condition monitoring and diagnostics.