نتایج جستجو برای: integral square error ise
تعداد نتایج: 486218 فیلتر نتایج به سال:
This article considers regularized least square regression on the sphere. It develops a theoretical analysis of the generalization performances of regularized least square regression algorithm with spherical polynomial kernels. The explicit bounds are derived for the excess risk error. The learning rates depend on the eigenvalues of spherical polynomial integral operators and on the dimension o...
Automatic generation control of interconnected power system with diverse sources of power generation
In this paper, automatic generation control (AGC) of two area interconnected power system having diverse sources of power generation is studied. A two area power system comprises power generations from hydro, thermal and gas sources in area-1 and power generations from hydro and thermal sources in area-2. All the power generation units from different sources are equipped with speed governors. A...
This paper presents a designing an optimal adaptive controller for tracking down the control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been used to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance criteria. In this paper, an improved PSO using a logic is proposed to increase the c...
This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...
The circulating currents of a modular multilevel converter (MMC) are ideally assumed to be the sum of an ac component and dc ac component operating with fundamental frequency. However, as ac current flows through the submodule (SM) capacitors, the capacitor voltages fluctuate with time. Consequently, the circulating current is usually distorted and allows multiple frequency components with the ...
In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...
Address for Correspondence Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India, Pin: 462051 e-mails: [email protected], [email protected], [email protected] ABSTRACT One of the main objectives of order reduction is to design a controller of lower order which can effectively control the original high order system so that the overall system is of lower order and e...
It is necessary to predict solar photovoltaic (PV) output and load profile guarantee the security, stability, reliability of hybrid power systems. Severe frequency fluctuations in systems are expected due intermittent nature unexpected variation load. This paper proposes designing a PID controller along with integration battery energy storage system (BESS) plug-in electric vehicle (PHEV) for da...
The effects of the windup phenomenon impact performance integral controllers commonly found in industrial processes. In particular, issues are critical for controlling variable and longtime delayed systems, as they may not be timely corrected by tracking error accumulation saturation actuators. This work introduces two anti-windup control algorithms a sliding mode (SMC) framework to promptly re...
Abstract A brushless DC (BLDC) motor is synchronous with trapezoidal/square wave counter-electromotive force, which a typical example of highly coupled nonlinear systems. In industrial control, BLDC drive usually uses proportional–integral (PI) controller to control the speed, but it very difficult adjust scale factors. this study, we present particle swarm algorithm-tuned fuzzy logic-PI (PF-PI...
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