A conical tank in which the diameter changes with the tank height, allows the use of feedback control used in complex nonlinear systems, such as adaptive control. This project modified an existing system of two interacting tanks by inserting a removable solid cone into one of the tanks. This modification created two new nonlinear configurations, one of which had a discontinuity. Optimal control...

This paper proposes a grey-PID type fuzzy controller (GPIDFC) with an adaptive step size to control the velocity of a spherical rolling robot characterized by a highly nonlinear system model. The proposed control structure consists of a grey predictor and a PID type fuzzy controller (PIDFC). Another fuzzy controller is proposed to tune the step size of the grey predictor. The simulation results...

Static Synchronous Compensator (STATCOM) is a device capable of solving the power quality problems at the power system. These problems happen in milliseconds and because of the time limitation, it requires the STATCOM that has continuous reactive power control with fast response. In this way, optimal exploitation of STATCOM by classical controllers has been a controversial issue in reputable jo...

As the air-conditioning control system has the nonlinearity, large time delay and time variation and other characteristics.In this paper,we put forward a method of self-adjusting PID algorithm based on the modified Elman neural network, and the output of the network adjust the three parameters of the PID controller online, so that it has the high controlling precision, good dynamic characterist...

In this paper, the nonlinear systems with time delay network control is discussed transmission delays and packet dropouts for networked control system with random time delay are analyzed. In this paper, online delay estimation method to obtain the delay value, the delay value is an input parameter of fuzzy adaptive PID controller, fuzzy PID temporal adjustment based on genetic algorithm and Par...

A self tuning PID control strategy using reinforcement learning is proposed in this paper to deal with the control of wind energy conversion systems (WECS). Actor-Critic learning is used to tune PID parameters in an adaptive way by taking advantage of the model-free and on-line learning properties of reinforcement learning effectively. In order to reduce the demand of storage space and to impro...

Networked control system (NCS) for industry process control recently has been paid much attention to. A fact that there exists networked-induced time delay in NCS, and the traditional proportional integral derivative (PID) controllers are still used broadly in industrial sites as their strong adaptability and robustness is well known. Therefore, the control engineers must face an unavoidable pr...

Proportional-Integral-Derivative (PID) controllers are the most employed controllers in industry. As one of the PID parameter tuning methods, partial model matching method is proposed by Kitamori. In this method, we can get the PID parameters calculated systematically. However, if we cannnot get the enough information about controlled object in advance, the performance of sysytem may become bad...

A simple tuning strategy for PID controller design will be proposed in this paper. With the use of single neural estimator (SNE), three control gains of PID controller are not fixed during the control procedure, but will be adjusted on-line such that better output response can be achieved. In this control strategy the exact model of plant will not need to be known and identified. Lastly, two si...

Major advances that improve control in the process industry have been made over the last ten years in the basic PID technology of modern distributed control systems. This paper addresses the impact that international standards have on control implementation and the tools utilized in industry for monitoring and commissioning PID control. Examples are used to illustrate how new technologies, such...