Papers by Keyword: PID Controller

Abstract: It is necessary to change the parameters of PID controller if the parameters of plants change or there are disturbances. Particle swarm optimization algorithm is a powerful optimization algorithm to find the global optimal values in the problem space. In this paper, the particle swarm optimization algorithm is used to identify the model of the plant and the parameter of digital PID controller online. The model of the plant is identified online according to the absolute error of the real system output and the identified model output. The digital PID parameters are tuned based on the identified model and they are adaptive if the model is changed. Simulations are done to validate the proposed method comparing with the classical PID controller.

Abstract: In this paper we consider the development of a ball-and-pipe system controlled by an Arduino-based PID controller designed and tuned numerically in MATLAB/Simulink environment. The controller achieves small overshoot and fast settling time. The system is intended to be used as a laboratory experiment in control systems theory courses.

Abstract: This paper presents a study on quadrotor using PID controller together with the application of Kalman Filter. Purpose of this project is to study effect of separate Kalman filter in overcoming the signal noise and gyro drift in the attitude sensors and simulate the PID controller which controlling the quadrotor dynamics through damping the vehicle oscillation. In this research, simulation of Kalman Filter in filtering the noise from the inertial moment unit (IMU) and PID controller in damping on unstable oscillation has been conducted to observe the performance of the quadrotor.

Abstract: PID Temperature Control Systems of Greenhouse Based on FSM (finite state machines) Methodology is used in variable-temperature-controlled greenhouse. This system cored with an advanced 16 bit RISC (Reduced Instruction Set Computer) MPU MSP430F149 with low power. The sensors employ a higher accuracy Pt1000 Resistance Temperature sensor and Silicon Photoelectric Generator. In software design, it used the thinking of FSM programming increment style PID Control algorithm. The Flexible Application of FSM can make the program clear and more effectively to management. The increment style PID Control algorithm avoids paranormal value when setting temperature is changed and temperature control more accurately. The cite operation shows that this controller has the advantages such as high reliability and good control effect.

Abstract: For the difficulties of PID controller parameter optimization, we have put forward a novel depiction method PPOGS (PID Parameters Optimization based on Glowworm Swarm). By combining the minimum error absolute time integral definition proportion, the objective optimal functions of integral and differential functions, this method can produce the optimal allocation with the help of the glowworm swarm algorithm which seeks solution to the objective function. At last, we use MATLAB to make a simulation experiment, conducting an in-depth investigation of the key factors influencing the method. The results have showed PPOGS has better adaptability compared with other methods Key words: PID controller; parameter optimization; glowworm swarm; simulation

Abstract: Piezoelectric ceramics are widely used in precision measurement and precision positioning, but its nonlinear characteristics seriously affected its application. Thus, firstly input voltage and output displacement data of piezoelectric ceramics are collected by the experiment, the nonlinear characteristics of piezoelectric ceramics is analyzed. Then a piezoelectric ceramic linear model is established using recursive least squares algorithm based on input and output signal. The identification results show that the algorithm is effective. Finally PID controller is designed and the controller has better control effect.

Abstract: The switched mode dc-dc converters are some of the most widely used power electronics circuits because of high conversion efficiency and flexible output voltage. Many methods have been developed for the control of dc-dc converters. This paper deals with design of controller for dc-dc buck converter using various control techniques. The first two control techniques are based on classical or linear control methods i.e. PI and PID control, while the other two control technique are based on non linear control method i.e. Sliding Mode Control (SMC) and Sliding Mode Proportional Integral Derivative Control (SMC-PID). The output voltage and the inductor current of the applied control techniques are analyzed and compared in transient and steady state region. Also the robustness of the buck converter system is tested for load changes and input voltage variations. Matlab/Simulink is used for the simulations. The detailed simulation results are presented, which compare the performance of the designed controllers for various cases. The results show that the non linear control for DC/DC Buck converter proves to be more robust than linear control especially when dynamic tests are applied.

Abstract: Quadrotor is a kind of popular unmanned aerial vehicle which obtains prime advantages in simple structure, vertically taking off and landing and hovering ability; hence it possesses wide application prospects in reconnaissance and rescue, geological exploration and video surveillance. However, attitude and position control of the quadrotor are challenging tasks because it is an under-actuated system with strong nonlinear, coupling and model uncertainty characteristics. In this paper, the dynamics model and the state space function of the micro-quadrotor are firstly established. Then, a cascade control scheme is proposed to decouple the control system and a multivariate RBF(Radial Basis Function) neural network control PID algorithm is proposed to realize robust control of the quadrotor. This algorithm is not only characterized by simple structure and easy implementation, but also capable of self-adaption and online learning. Simulation results show that the proposed control algorithm performs well in tracking and under disturbances and model uncertainties.

Abstract: The standard ISO 10328 specifies the procedure for structural tests on lower limb prosthetic devices, as a method for quality control. Having the standard as reference, a machine is designed and implemented to follow the test routine, which if succeeded, shows the quality concept for the devices tested. Furthermore, it is shown the controller design process, which manage the application of a sinusoid force with specified amplitude, frequency and offset, in order to realize the dynamic test, by means of a double effect cylinder and proportional valves for pressure and flow.The dynamic model was calculated through a parametric identification technique in a pre-stabilized closed loop. Later, a hybrid control strategy was set using the differential flatness concept and a sliding modes controller, so that both identified model and real system could be properly controlled.

Abstract: The article describes three usual manners and introduces about one Siemens S7-200PLC’s closed loop control system how to realize the PID , the principle of the PID digital controller, how to use the PID digital controller, an example about how to program with it, and how to convert the input-output variable.