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Autonomous underwater vehicles (AUVs) are becoming increasingly popular for ocean exploration, military and industrial applications. Motion control of AUV is the key to completing these missions. The classical linear Proportional Integral Derivative (PID) controllers are widely used due to its reliability and simplicity. However, it is difficult to tune the parameters in the classical PID controllers...
This study exhibits the optimum design procedure to tune controller parameters for grid-connected distributed generation system based on cuckoo search algorithm (CSA). To investigate the effectiveness of proposed algorithm, a grid-tied photovoltaic (PV) system consisting of two power electronic converters controlled by five proportional integral (PI) controllers is chosen. Setting proper values for...
In order to solve the poor dynamic characteristics and adjustment effect of traditional voltage filter control system of welding machine. In this paper, the mathematical model of the voltage filter control system of welding machine is established, and the fuzzy control rule is applied to the Voltage Control System, and two improved fuzzy control schemes including fuzzy-PID compound control and fuzzy...
This study presents a sensorless static model based with output current estimation method for digital PWM control dc-dc converters. The static model is a feedforward type control method adopted in coordination with the standard PID control and it can improve characteristics of wide input and output range of dc-dc converter by using information of output current. The one of the drawbacks of the static...
As a new energy technology, microbial desalination cell (MDC) can not only purify the wastewater, but also can produce electricity. It has attracted the attention of researchers in the field of control in recent years. In this paper, the generalized predictive control (GPC) algorithm for MDC is proposed to control the output current. A linear regression model of MDC is identified based on the recursive...
As the quadcopters industry grows exponentially each year. A reliable controller is needed to stabilize the quadcopter attitude and to follow a desired trajectory while considering the surrounding environment. The main challenge in controlling a quadcopter is the fact that it is a nonlinear system. Moreover, it's prone to disturbances. Thus, A mathematical model of the quadcopter was derived. Next,...
Many real dynamical processes in control engineering practice can be modelled as a first order plant with saturation at its input. This paper proposes a new solution to control such plants, which is a combination of discrete-time first-order sliding mode (SM) control and discrete-time realization of super twisting control algorithm (STA) that is commonly used in second-order SM. A brief mathematical...
European countries start rising the standards regarding the energy performance of buildings by adopting the European Commission's directives with the purpose of driving change in the building sector and promoting a low carbon economy. The energy performance of buildings and the related costs with energy can be reduced from the design phase, by choosing high quality and energy performant materials...
The working principle of the electro-hydrostatic actuator(EHA) is described, and its mathematical model is deduced. To further improve the robustness of the EHA system, a fuzzy adaptive PID control model is proposed, simulation using MATLAB /Simulink. The results show that the system step response is fast, sport smoothness is better.
In view of the limitation of the traditional PID controller in the processing of nonlinear time-varying systems, a neuron adaptive PID control algorithm is proposed. Based on the traditional PMSM speed control, the neuron adaptive PID control method is adopted, using the Hebb learning algorithm, the error square is used as the performance index to adjust the parameters online in order to realize the...
In this paper, we employ a multilayer decentralized control and an advanced PID control to solve the coordinated ramp control problem. Furthermore, we use a hybrid optimization approach to adjust the PID parameters. This hybrid approach in use is the combination of a genetic algorithm (GA) and an ant colony algorithm (ACA). First, a macroscopic and dynamic freeway traffic flow model called a finite-difference...
This paper describes the procedure for controlling a non-linear process of Continuous Stirred Tank heater with Adaptive PID control and NEPSAC control. In particular, the interest is centered on analysis strategies to calculate a mathematical model, that later will be designed in the simulink software. The values shown in the analysis were selected from a CSTH with jacket implemented at the facilities...
A novel on-line auto-tuning PI control algorithm for the superheat of the evaporator is proposed in this paper. A first-order plus dead-time model is firstly employed to describe the system process, and the model parameters are obtained from the robust identification algorithm using the on-line experimental data. Then, a PI controller, whose parameters are tuned by the Ziegler-Nichols method, is designed...
Considering the problem of the highly dependence on the accuracy model information of the industrial control process, an online PID parameter tuning method is proposed based on the simultaneous perturbation stochastic approximation (SPSA) algorithm and the traditional PID control only by the input and output data of the system. Interfering with each component of the PID controller parameters simultaneously,...
As for permanent magnet synchronous motor, permanent magnet flux is constant, this article analyzes the d-q axis PMSM model, applies voltage space vector pulse width modulation technology (SVPWM) control method. Combining with the fuzzy PID control principle, fuzzy PID control strategy of permanent magnet synchronous motor is studied. This paper discusses the method of establishing SVPWM control system...
This paper investigates the curved path following of the unmanned surface vessel. The linear sliding mode based active disturbance rejection control (ADRC) is employed as the main control framework. We combine the track error and course error as the control object, considering environment disturbance and input saturation as well. The linear sliding mode ADRC is to cope with the error of track and...
When a controlled object has a nonlinear characteristic, a good control result is not always obtained with fixed PID gains. This paper proposes a design method of a nonlinear PID controller using a neural network to overcome the problem. In the proposed controller, PID gains are tuned online by a neural network and a controlled object is controlled by the PID controller with the tuned PID gains. The...
This paper presents Model Reference Adaptive Control (MRAC) compared to Cascade PID control in order to evaluate their performances. The cascade control has an outer loop for the level control and an inner loop for flow control that can make the response faster. There the linearization technique is applied to obtain a new linear model. MRAC is designed based on Lyapunov theory and Barbalet's lemma...
This paper studies on the dynamics model and control method of quad-rotor UAV for research. Firstly analyzes the dynamic characteristic of quad-rotor UAV and establishes the nonlinear dynamics model of quad-rotor UAV; and then applies the PID control to three channels of pitch, roll and yaw based on the established model, and the simulation results show that PID control is effective for the quad-rotor...
Ball and beam control system is specially designed to study nonlinear control methodology on an unstable system. The point of the ball is hard to manage because it will move continuously on a beam, makes it becoming open-loop unstable. PID controller had been successfully applied for this application by previous researchers. However, incorporation of fuzzy in the system to facilitate PID tuning could...
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