Method of Inequality-Based Multiobjective Genetic Algorithm for Optimizing Cart-Double-Pendulum-System
نویسندگان
چکیده
This article presents a multiobjective genetic algorithm to tracking the optimal parameterization problem of the controller concerning the swinging-up and handstand-control of the general cart-doublependulum system (CDPS). The design based on the Human-Simulated Intelligent Control (HSIC) theory is required to meet various criteria according to the expected specifications. The proposed algorithm extends from the original method of inequality-based multiobjective genetic algorithm (MMGA) and can efficiently maintain the Pareto set of the CDPS optimal parameters in the evolutionary population.
منابع مشابه
Pareto Optimal Design Of Decoupled Sliding Mode Control Based On A New Multi-Objective Particle Swarm Optimization Algorithm
One of the most important applications of multi-objective optimization is adjusting parameters ofpractical engineering problems in order to produce a more desirable outcome. In this paper, the decoupled sliding mode control technique (DSMC) is employed to stabilize an inverted pendulum which is a classic example of inherently unstable systems. Furthermore, a new Multi-Objective Particle Swarm O...
متن کاملAnalysis of the Energy Based Swing-up Control for a Double Pendulum on a Cart
Designing and analyzing controllers for underactuated systems with underactuation degree greater than one is still an open and challenging problem. In this paper, we study an unsolved problem of analyzing energy based swing-up control for a double pendulum on a cart, which has three degrees of freedom and only one control input. We present an original analysis of the convergence of the energy o...
متن کاملFuzzy Tracking Control Based on H∞ Performance for Nonlinear Systems
This paper presents a fuzzy tracking control design based on H∞ performance for nonlinear systems. The Takagi-Sugeno fuzzy model is employed to approximate a nonlinear system. Based on the H∞ tracking performance, the nonlinear system output is controlled to track a reference signal, and at the same time the tracking performance is attenuated to a prescribed level. Linear matrix inequalities (L...
متن کاملDelay-dependent robust H∞ control for a class of uncertain switched systems with time delay
For linear switched system with both parameter uncertainties and time delay, a delay-dependent sufficient condition for the existence of a new robust H∞ feedback controller was formulated in nonlinear matrix inequalities solvable by an LMI-based iterative algorithm. Compared with the conventional state-feedback controller, the proposed controller can achieve better robust control performance si...
متن کاملOptimal Power Flow With Four Conflicting Objective Functions Using Multiobjective Ant Lion Algorithm: A Case Study of the Algerian Electrical Network
In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-conflicting objective functions simultaneously. Here a...
متن کامل