{"id":189571,"date":"2025-02-10T05:12:00","date_gmt":"2025-02-10T05:12:00","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=189571"},"modified":"2025-02-10T05:12:03","modified_gmt":"2025-02-10T05:12:03","slug":"find-the-percent-overshoot-settling-time-rise-time-and-peak-time","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2025\/02\/10\/find-the-percent-overshoot-settling-time-rise-time-and-peak-time\/","title":{"rendered":"Find the percent overshoot, settling time, rise time, and peak time"},"content":{"rendered":"\n<p>Find the percent overshoot, settling time, rise time, and peak time for T(s) 14.145 (s2+0.824s+2.892)(s+5)<\/p>\n\n\n\n<p><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ast-global-color-6-color\"><strong>The Correct Answer and Explanation is :<\/strong><\/mark><\/p>\n\n\n\n<p>To determine the percent overshoot, settling time, rise time, and peak time for the transfer function ( T(s) = \\frac{14.145}{(s^2 + 0.824s + 2.892)(s + 5)} ), we need to analyze the system&#8217;s behavior in the time domain. Here\u2019s a step-by-step process to derive these characteristics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 1: Identify the system&#8217;s poles<\/h3>\n\n\n\n<p>We begin by simplifying the transfer function into a standard second-order system form and finding the poles of the system. The given transfer function has two terms in the denominator:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>( (s^2 + 0.824s + 2.892) ), which corresponds to the second-order part, and<\/li>\n\n\n\n<li>( (s + 5) ), a first-order pole at ( s = -5 ).<\/li>\n<\/ul>\n\n\n\n<p>First, we can solve for the poles of the second-order system by using the quadratic formula on ( s^2 + 0.824s + 2.892 = 0 ):<\/p>\n\n\n\n<p>[<br>s = \\frac{-0.824 \\pm \\sqrt{(0.824)^2 &#8211; 4(1)(2.892)}}{2(1)}<br>]<\/p>\n\n\n\n<p>Solving this:<\/p>\n\n\n\n<p>[<br>s = \\frac{-0.824 \\pm \\sqrt{0.6781 &#8211; 11.568}}{2} = \\frac{-0.824 \\pm \\sqrt{-10.8899}}{2}<br>]<\/p>\n\n\n\n<p>This gives complex conjugate poles, indicating underdamped behavior. We can express these poles as ( s = \\sigma \\pm j \\omega_n ), where ( \\sigma ) is the real part, and ( \\omega_n ) is the imaginary part.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 2: Determine the damping ratio and natural frequency<\/h3>\n\n\n\n<p>From the quadratic equation, we can find the damping ratio ( \\zeta ) and the natural frequency ( \\omega_n ). For a second-order system ( s^2 + 2\\zeta \\omega_n s + \\omega_n^2 ), the values are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>( \\zeta = \\frac{0.824}{2\\sqrt{2.892}} \\approx 0.423 ),<\/li>\n\n\n\n<li>( \\omega_n = \\sqrt{2.892} \\approx 1.7 ).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3: Time domain specifications<\/h3>\n\n\n\n<p>Using these values, we can calculate the time-domain specifications.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Percent Overshoot (PO):<\/strong><br>The formula for percent overshoot is: [<br>PO = 100e^{\\frac{-\\zeta \\pi}{\\sqrt{1 &#8211; \\zeta^2}}}<br>] Substituting ( \\zeta = 0.423 ): [<br>PO = 100e^{\\frac{-0.423 \\pi}{\\sqrt{1 &#8211; 0.423^2}}} \\approx 16.75\\%<br>]<\/li>\n\n\n\n<li><strong>Settling Time (Ts):<\/strong><br>Settling time for a second-order system is approximately: [<br>Ts = \\frac{4}{\\zeta \\omega_n} = \\frac{4}{0.423 \\times 1.7} \\approx 5.8 \\, \\text{seconds}<br>]<\/li>\n\n\n\n<li><strong>Rise Time (Tr):<\/strong><br>The rise time is approximated for a second-order system by: [<br>Tr \\approx \\frac{\\pi &#8211; \\theta}{\\omega_n \\sqrt{1 &#8211; \\zeta^2}}<br>] where ( \\theta = \\arccos(\\zeta) ). Using ( \\zeta = 0.423 ): [<br>Tr \\approx \\frac{\\pi &#8211; \\arccos(0.423)}{1.7} \\approx 3.1 \\, \\text{seconds}<br>]<\/li>\n\n\n\n<li><strong>Peak Time (Tp):<\/strong><br>The peak time for a second-order system is: [<br>Tp = \\frac{\\pi}{\\omega_n \\sqrt{1 &#8211; \\zeta^2}} \\approx \\frac{\\pi}{1.7 \\times \\sqrt{1 &#8211; 0.423^2}} \\approx 3.1 \\, \\text{seconds}<br>]<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>The calculated time-domain specifications for the system are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Percent Overshoot (PO):<\/strong> 16.75%<\/li>\n\n\n\n<li><strong>Settling Time (Ts):<\/strong> 5.8 seconds<\/li>\n\n\n\n<li><strong>Rise Time (Tr):<\/strong> 3.1 seconds<\/li>\n\n\n\n<li><strong>Peak Time (Tp):<\/strong> 3.1 seconds<\/li>\n<\/ul>\n\n\n\n<p>These parameters provide insights into the transient response of the system.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Find the percent overshoot, settling time, rise time, and peak time for T(s) 14.145 (s2+0.824s+2.892)(s+5) The Correct Answer and Explanation is : To determine the percent overshoot, settling time, rise time, and peak time for the transfer function ( T(s) = \\frac{14.145}{(s^2 + 0.824s + 2.892)(s + 5)} ), we need to analyze the system&#8217;s [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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